clear all;
close all;
cnn_setenv;

%template library
mCNN.TemGroup='global_temlib';
%input image
InputImg=lbmp2cnn('piclib/avergra2.bmp');

max(max(InputImg))
%displays the input
subplot(1,2,1)
cnnshow(InputImg);

%nonlinear globmax template
mCNN.INPUT1 = 1 .* InputImg;
mCNN.STATE = 1 .* InputImg; 
mCNN.Boundary = 2;
mCNN.TimeStep = 1;
mCNN.IterNum = 10;
loadtem('GLOBMAX');
runtem;
Max=1 .* mCNN.OUTPUT;
		
		
Max(10,10)


subplot(1,2,1)
cnnshow(Max);