%------Pulse Coupled Neural Network-----------
%------名称：脉冲耦合神经网络（PCNN）
function H = PCNN2(I)
I = imread(‘BanLanGen.png‘);
figure,imshow(I);
title(‘原始图像‘);
th = graythresh(I);
I = im2bw(I,th);
%H = Pcnn(I,30);
%************************************************************
% Initialize Function
%************************************************************
[m,n] = size (I);
figure,imshow(I);
title(‘二值图像‘);
X = im2double(I);
%************************************************************
% Initialize PCNN Parameters
%************************************************************
% P ：L E F VF VL VE beta
% V: 1.0 1.0 0.1 0.5 0.2 20 0.1
al = 1.0; ae = 1.0; af = 0.1; vf = 0.5; vl = 0.2; ve = 20; B = 0.1;
W =[0.5 1 0.5;...
1 0 1;...
0.5 1 0.5];
M = W; Y = zeros(m,n); F = Y; L = Y; U = Y; E = Y;
%************************************************************
% PCNN 点火过程
%************************************************************
for i = 1:30
wk = conv2(Y,M,‘same‘);
F = exp(-af).* F + vf.* wk + X;
L = exp(-al).* L + vl.* wk;
U = F.*(1 + B.* L);
Y = double(U>E);
E = exp(-ae).* E + ve.* Y;
end
figure,imshow(Y)
title(‘PCNN处理后图像‘);
fs = fspecial(‘sobel‘);
filter_Y = imfilter(Y, fs);
figure,imshow(filter_Y);
title(‘滤波图像‘);matlab PCNN 显微图像处理
原文：http://blog.csdn.net/u011344545/article/details/45168821
