【图像提取】基于matlab DNA编解码多尺度形态学提取眼前节组织【含Matlab源码 1191期】

一、简介

基于matlab DNA编解码多尺度形态学提取眼前节组织

二、源代码

clc; clear all; close all;
if exist(fullfile(pwd, 'dt.mat'), 'file')
    load(fullfile(pwd, 'dt.mat'));
    figure;  imshow(result, []);
    return;
end
Img = imread('images\image.bmp'); 
Gf1 = Main_Process(Img, 1); 
Gf2 = Main_Process(Img, 2);
Gf3 = Main_Process(Img, 3); 
Gf4 = Main_Process(Img, 4);
Gf5 = Main_Process(Img, 5);
G{1} = Gf1;
G{2} = Gf2;
G{3} = Gf3;
G{4} = Gf4;
G{5} = Gf5;
ua1 = Coef(Gf1, G);
ua2 = Coef(Gf2, G);
ua3 = Coef(Gf3, G);
ua4 = Coef(Gf4, G);
ua5 = Coef(Gf5, G);
u = [ua1, ua2, ua3, ua4, ua5];
u = u/sum(u); 
Gf = Edge_One(G, u); 
result = Gf5;
figure;  imshow(result, []);
function Inversef = supoles(fa, f)
Inversef = 0;
N = length(f);
for i = 1 : N
    fb = f{i};
    diff_fab = usim(fa, f);
    Inversef = Inversef + diff_fab;
end
function H = compute_infos(I)
level = 256;
dat = double(I);
p = zeros(1, level);
for i = 1 : size(dat, 1)
    for j = 1 : size(dat, 2)
        temp = dat(i,j);
        p(1, temp+1) = p(1, temp+1) + 1;
    end
end
p = p/(size(dat, 1)*size(dat, 2));
H = 0; 
for i = 1 : level
    if p(i) ~= 0
        H = H + p(i)*log2(p(i));
    end
end
H = -H;
function ua = Coef(fa, f)
N = length(f);
s = [];
for i = 1 : N
    fi = f{i};
    si = supoles(fi, f);
    s = [s si];
end
sp = min(s(:));
sa = supoles(fa, f);
ka = sp/sa; 
k = 0;
for i = 1 : N
    fb = f{i};
    s = [];
    for i = 1 : N
        fi = f{i};
        si = supoles(fi, f);
        s = [s si];
    end
    sp = min(s);
    sb = supoles(fb, f);
    kb = sp/sa; 
    k = k + kb;
end
ua = ka/k; 
function [Gi, ng] = Multi_Process(I, g, n)

if nargin < 3
    n = 6;
end
ng = g;
for i = 1:n
    ng = imdilate(ng, g);
end

Gi1 = imopen(I, ng); 
Gi1 = imdilate(Gi1, ng);
Gi2 = imclose(I, ng); 
Gi2 = imerode(Gi2, ng);
Gi = imsubtract(Gi1, Gi2); 

  
 

  
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三、运行结果

四、备注

版本：2014a

文章来源: qq912100926.blog.csdn.net，作者：海神之光，版权归原作者所有，如需转载，请联系作者。

原文链接：qq912100926.blog.csdn.net/article/details/119453906