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基于模糊理论的图像分割算法研究(9)

2013-07-28 01:28 国防出版社，1999

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附 录 附录 一

灰度直方图双峰法分割源代码

clear, close all

B=imread('2.jpg');                                            %读入原始jpg格式图像

figure(1);

imshow(B),title('原始jpg格式图像');

I1=rgb2gray(B);                                                 %将原图像转化为灰度图象

figure(2);

imshow(I1),title('灰度格式图像');

[I1,map1]=gray2ind(I1,255);                                     %将灰度图像转化为索引图像

figure(3), imhist(I1)                                           %画出灰度直方图，以判断域值

 I1=double(I1);                                                  %将unit8数组转化为double型数组

 Z=I1                                                           %将double型数组I1转存到Z中

[m, n]=size(Z);

for i=1:m

    for j=1:n

        if Z(i,j)>240                                          %灰度值大于域值时是白色

            Z(i,j)=256;

        end

    end

end

figure(4)                                                      %画出分割后目标图像

image(Z),title('分割后图像');colormap(map1);

图像I图像格式转化及灰度直方图双峰法分割源代码

clear, close all

B=imread('she.jpg');                                       %读入原始jpg格式图像she

figure(1);

imshow(B),title('原始jpg格式图像');

I1=rgb2gray(B);                                          %将原图像转化为灰度图象

figure(2);

imshow(I1),title('灰度格式图像');

[I1,map1]=gray2ind(I1,255);                              %将灰度图像转化为索引图像

figure(3), imhist(I1)                                    %画出灰度直方图，以判断域值

 I1=double(I1);                                    %将unit8数组转化为double型数组

 Z=I1                                             %将double型数组I1转存到Z中

[m, n]=size(Z);

for i=1:m

    for j=1:n

        if Z(i,j)>240                                     %灰度值大于域值时是白色

            Z(i,j)=256;

        end

    end

end

figure(4)                                                    %画出分割后目标图像

image(Z),title('分割后图像');colormap(map1);

图像II图像格式转化及灰度直方图双峰法分割源代码

clear, close all

B=imread('she.jpg');                                      %读入原始jpg格式图像月亮

figure(1);

imshow(B),title('原始jpg格式图像');

I1=rgb2gray(B);                                          %将原图像转化为灰度图象

figure(2);

imshow(I1),title('灰度格式图像');

[I1,map1]=gray2ind(I1,255);                              %将灰度图像转化为索引图像

figure(3), imhist(I1)                                    %画出灰度直方图，以判断域值

 I1=double(I1);                                    %将unit8数组转化为double型数组

 Z=I1                                             %将double型数组I1转存到Z中

[m, n]=size(Z);

for i=1:m

    for j=1:n

        if Z(i,j)>240                                     %灰度值大于域值时是白色

            Z(i,j)=256;

        end

    end

end

figure(4)                                                    %画出分割后目标图像

image(Z),title('分割后图像');colormap(map1);

附录 二

Crtbp 函数源代码：（由谢菲尔德大学Andrew Chipperfield编写）

% CRTBP.m - Create an initial population%

% This function creates a binary population of given size and structure.

%

% Syntax: [Chrom Lind BaseV] = crtbp(Nind, Lind, Base)

%

% Input Parameters:

%

%           Nind       - Either a scalar containing the number of individuals

%                    in the new population or a row vector of length two

%                    containing the number of individuals and their length.

%

%           Lind     - A scalar containing the length of the individual

%                    chromosomes.

%

%           Base    - A scalar containing the base of the chromosome

%                    elements or a row vector containing the base(s)

%                    of the loci of the chromosomes.

%

% Output Parameter