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Search Improvemnt Based on Ants Performance in Image Edge Detection using ACO

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###Directory Structure

EXP1, EXP2, EXP3 directories are three different experiments. Each experiment directory has a project named SI_Proj. PLOT directory contains the plots comparing the three experiments. PAPER directory contains the paper (paper.pdf) explaining the experiments and document source files.

###Installation requirements:

  • Python 2.7
  • NumPy module
  • OpenCV2 module

###How to run:

On terminatl

go-to-the-path/EXP#/SI_Proj$ python run_me.py --help

--help gives list of arguments taht could be passed.

###Command issued for experiments:

The results presented in the paper are produced by the following command (same for all three experiments)

python run_me.py --debug --hor 1 --ver 1 --tauini 0.1 --iter 10 --cons 40 --ants 512 --q0 0.7 --alpha 1 --beta 1 --rho 0.1 --phi 0.05 --image ./standard_test_images/256/lena_color.tif

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