首页 > 学术百科

灰度共生矩阵用matlab实现代码

% Calculates cooccurrence matrix

% for a given direction and distance

% out = cooccurrence (input, dir, dist, symmetric);

% INPUT:

% input: input matrix of any size

% dir: direction of evaluation

% "dir" value Angle

% 0 0 % 1 -45 % 2 -90 % 3 -135 % 4 -180 % 5 +135 % 6 +90 % 7 +45 %

% dist: distance between pixels

% symmetric: 1 for symmetric version

% 0 for non-symmetric version

罗马女教皇%

% eg: out = cooccurrence (input, 0, 1, 1);

% Author: Baran Aydogan (15.07.2006)

% RGI, Tampere University of Technology

%********************

function out = cooccurrence (input, dir, dist, symmetric); input = round(input);

[r c] = size(input);

min_intensity = min(min(input));

max_intensity = max(max(input));

out = zeros(max_intensity-min_intensity+1);

if (dir == 0)

dir_x = 0;

dir_y = 1;

end

if (dir == 1)

dir_x = 1;矿仪器

dir_y = 1;

end

if (dir == 2)

dir_x = 1;

dir_y = 0;

end

if (dir == 3)

dir_x = 1;

dir_y = -1;

end

if (dir == 4)

dir_x = 0;

dir_y = -1;

深圳大学图书馆

end

if (dir == 5)

dir_x = -1;

dir_y = -1;

end

if (dir == 6)

dir_x = -1;

dir_y = 0;

end

if (dir == 7)

dir_x = -1;

dir_y = 1;

求医不如求己4end

dir_x = dir_x*dist;

dir_y = dir_y*dist;

out_ind_x = 0;

out_ind_y = 0;

for intensity1 = min_intensity:max_intensity

out_ind_x = out_ind_x + 1;

内存数据库out_ind_y = 0;

[ind_x1 ind_y1] = find (input == intensity1);

ind_x1 = ind_x1 + dir_x;

ind_y1 = ind_y1 + dir_y;

for intensity2 = min_intensity:max_intensity

out_ind_y = out_ind_y + 1;

法制与社会[ind_x2 ind_y2] = find (input == intensity2);

count = 0;

for i = 1:size(ind_x1,1)

for j = 1:size(ind_x2,1)

if ( (ind_x1(i) == ind_x2(j)) && (ind_y1(i) == ind_y2(j)) )

count = count + 1;

end

out(out_ind_x, out_ind_y) = count;

end

if (symmetric)

if (dir < 4)

dir = dir + 4;

else

dir = mod(dir,4);

end

out = out + cooccurrence (input, dir, dist, 0); end

本文发布于:2024-09-24 03:27:01，感谢您对本站的认可！

本文链接：https://www.17tex.com/xueshu/104943.html

上一篇：Matlab灰度共生矩阵计算

下一篇：python灰度共生矩阵GLCM，带公式和代码

标签：罗马找矿数据库社会

留言与评论（共有 0 条评论）