featureTrackingCorrelationFigure.asv

function featureTrackingCorrelationFigure(x, y, A, pu, pv, C, correlationThreshold)
% featureTrackingDiagnosticFigure - Create signal to noise figure

% Start with the standard single figure
x = x - x(1);
y = y - y(1);
handles = featureTrackingSingleImage(x, y, A);

% Add scatter plot for the Correlation values
set(handles.ax, 'nextplot', 'add');
set(handles.hf, 'colormap', jet(64));
scatter(handles.ax, x(pu), y(pv), 500, C, '.');

% And pretty up a bit
title(handles.ax, sprintf('Correlation (Threshold Used):  %s', num2str(correlationThreshold)));
xlabel(handles.ax, 'Metres fro
colorbar(handles.ax, 'southoutside');

% 
% 
% figure; 
% image (aDisplay); 
% axis equal off tight ij
% hold on 
% scatter (uvA(:,1),uvA(:,2),500,C,'.')
% title('C')
% colormap jet 
% colorbar ('southoutside'); 
% caxis ([0 1]); 
% 
% figure; 
% image (aDisplay); 
% axis equal off tight ij 
% hold on 
% scatter (uvA(:,1), uvA(:,2),500,signal2noise, '.')
% caxis ([0 2.5]); 
% title ('signal2noise') 
% colormap jet 
% colorbar ('southoutside');