diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_global_random
new file mode 100755
index 0000000..cd019c9
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_cropped_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_local_random
new file mode 100755
index 0000000..98b7b90
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_cropped_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_wt_bow b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_wt_bow
new file mode 100755
index 0000000..664f257
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_cropped_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_cropped_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_global_random
new file mode 100755
index 0000000..625450f
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_local_random
new file mode 100755
index 0000000..6b7744b
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_wt_bow b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_wt_bow
new file mode 100755
index 0000000..4385347
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_aligned_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_global_random
new file mode 100755
index 0000000..7cd09b5
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_local_random
new file mode 100755
index 0000000..145e4df
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_flatten_wt_bow b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_wt_bow
new file mode 100755
index 0000000..bb9df6f
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_flatten_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_global_random
new file mode 100755
index 0000000..6afe3d5
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_non_flatten_global_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_local_random
new file mode 100755
index 0000000..f1db103
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_non_flatten_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_wt_bow b/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_wt_bow
new file mode 100755
index 0000000..fa4c526
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_non_flatten_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_non_flatten_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_flatten_aligned_cropped_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_cropped_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_flatten_aligned_cropped_global_random
rename to script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_cropped_global_random
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_cropped_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_cropped_local_random
new file mode 100755
index 0000000..89c739f
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_cropped_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist_top/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist_top/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_flatten_aligned_cropped_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_flatten_aligned_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_flatten_aligned_global_random
rename to script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_global_random
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_local_random
new file mode 100755
index 0000000..489d086
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_aligned_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist_top/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist_top/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_flatten_aligned_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_flatten_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_flatten_global_random
rename to script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_global_random
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_local_random
new file mode 100755
index 0000000..33ca6b1
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_top_flatten_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist_top/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist_top/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_flatten_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_non_flatten_global_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_non_flatten_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_non_flatten_global_random
rename to script/lbp_classification_codebook_final/script_seri_lbp_top_non_flatten_global_random
diff --git a/script/lbp_classification_codebook_final/script_seri_lbp_top_non_flatten_local_random b/script/lbp_classification_codebook_final/script_seri_lbp_top_non_flatten_local_random
new file mode 100755
index 0000000..ff51cf6
--- /dev/null
+++ b/script/lbp_classification_codebook_final/script_seri_lbp_top_non_flatten_local_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist_top/lbp_local'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist_top/lbp_local'
+# Type of codebook
+codebook_type='codebook_final'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_non_flatten_local_final_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top_bow.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_flatten_aligned_cropped_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_cropped_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_flatten_aligned_cropped_global_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_cropped_global_random
diff --git a/script/lbp_classification/script_seri_lbp_flatten_aligned_cropped_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_cropped_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_flatten_aligned_cropped_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_cropped_local_random
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_cropped_wt_bow b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_cropped_wt_bow
new file mode 100755
index 0000000..664f257
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_cropped_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_cropped_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_flatten_aligned_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_flatten_aligned_global_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_global_random
diff --git a/script/lbp_classification/script_seri_lbp_flatten_aligned_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_flatten_aligned_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_local_random
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_wt_bow b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_wt_bow
new file mode 100755
index 0000000..4385347
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_aligned_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_aligned_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_flatten_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_flatten_global_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_flatten_global_random
diff --git a/script/lbp_classification/script_seri_lbp_flatten_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_flatten_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_flatten_local_random
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_flatten_wt_bow b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_wt_bow
new file mode 100755
index 0000000..bb9df6f
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_flatten_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_flatten_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_non_flatten_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_non_flatten_global_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_non_flatten_global_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_non_flatten_global_random
diff --git a/script/lbp_classification/script_seri_lbp_non_flatten_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_non_flatten_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_non_flatten_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_non_flatten_local_random
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_non_flatten_wt_bow b/script/lbp_classification_codebook_random/script_seri_lbp_non_flatten_wt_bow
new file mode 100755
index 0000000..fa4c526
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_non_flatten_wt_bow
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist/lbp_global'
+# Type of codebook
+codebook_type='wt_codebook'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_non_flatten_wt_codebook_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_cropped_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_cropped_global_random
new file mode 100755
index 0000000..f2cd4b4
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_cropped_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned_cropped/lbp_riu/lbp_hist_top/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned_cropped/lbp_riu/lbp_hist_top/lbp_global'
+# Type of codebook
+codebook_type='codebook_random'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_flatten_aligned_cropped_global_random_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_flatten_aligned_cropped_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_cropped_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_flatten_aligned_cropped_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_cropped_local_random
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_global_random
new file mode 100755
index 0000000..d348e14
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten_aligned/lbp_riu/lbp_hist_top/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten_aligned/lbp_riu/lbp_hist_top/lbp_global'
+# Type of codebook
+codebook_type='codebook_random'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_flatten_aligned_global_random_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_flatten_aligned_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_flatten_aligned_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_aligned_local_random
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_global_random
new file mode 100755
index 0000000..7b830c4
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/flatten/lbp_riu/lbp_hist_top/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/flatten/lbp_riu/lbp_hist_top/lbp_global'
+# Type of codebook
+codebook_type='codebook_random'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_flatten_global_random_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_flatten_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_flatten_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_top_flatten_local_random
diff --git a/script/lbp_classification_codebook_random/script_seri_lbp_top_non_flatten_global_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_non_flatten_global_random
new file mode 100755
index 0000000..f688289
--- /dev/null
+++ b/script/lbp_classification_codebook_random/script_seri_lbp_top_non_flatten_global_random
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Name of the dataset
+name_dataset='seri'
+# Input path
+input_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/feature_data/non_flatten/lbp_riu/lbp_hist_top/lbp_global'
+# Output path
+output_path='/work/le2i/gu5306le/retinopathy/OCT/SERI/results/non_flatten/lbp_riu/lbp_hist_top/lbp_global'
+# Type of codebook
+codebook_type='codebook_random'
+
+# Keep the directory of the script into a variable
+script_dir=$(pwd)
+
+# Try the three different radius
+for radius in `seq 1 3`;
+do
+    # Create an automatic script
+    script_filename_core='/script_lbp_top_non_flatten_global_random_r_'
+    script_filename="$script_dir$script_filename_core$radius"
+    ### Create the file
+    touch $script_filename
+    ### Truncate the file if it is existing
+    : > $script_filename
+    
+    printf "ipython ../../pipeline/feature-classification/${name_dataset}/classification_lbp_top.py ${radius} \"${input_path}\" \"${output_path}\" \"${codebook_type}\" " >> $script_filename
+    ### Make it executable
+    chmod u+x $script_filename
+    # Submit the job to the queue
+    qsub -q batch -pe smp 8 $script_filename
+done
diff --git a/script/lbp_classification/script_seri_lbp_top_non_flatten_local_random b/script/lbp_classification_codebook_random/script_seri_lbp_top_non_flatten_local_random
similarity index 100%
rename from script/lbp_classification/script_seri_lbp_top_non_flatten_local_random
rename to script/lbp_classification_codebook_random/script_seri_lbp_top_non_flatten_local_random
diff --git a/src/matlab/script_lbp_top_flatten_aligned_cropped b/src/matlab/script_lbp_top_flatten_aligned_cropped
new file mode 100644
index 0000000..6ad1d9b
--- /dev/null
+++ b/src/matlab/script_lbp_top_flatten_aligned_cropped
@@ -0,0 +1 @@
+matlab -nosplash -jvm -nodisplay -r 'FeatureExtraction_TopLBP_flatten_aligned_cropped(1)'
\ No newline at end of file
diff --git a/src/matlab/script_lbp_top_patch_flatten_aligned_cropped b/src/matlab/script_lbp_top_patch_flatten_aligned_cropped
new file mode 100644
index 0000000..d794643
--- /dev/null
+++ b/src/matlab/script_lbp_top_patch_flatten_aligned_cropped
@@ -0,0 +1 @@
+matlab -nosplash -jvm -nodisplay -r 'FeatureExtraction_TopLBPPatch_flatten_aligned_cropped(1)'
\ No newline at end of file
diff --git a/src/matlab/script_lbp_top_patch_non_flatten b/src/matlab/script_lbp_top_patch_non_flatten
new file mode 100644
index 0000000..e0cbc4f
--- /dev/null
+++ b/src/matlab/script_lbp_top_patch_non_flatten
@@ -0,0 +1 @@
+matlab -nosplash -jvm -nodisplay -r 'FeatureExtraction_TopLBPPatch(1)'
\ No newline at end of file