資源簡介
通過灰度共生矩陣獲取圖像的紋理特征,含有相關函數(shù),可直接運行

代碼片段和文件信息
%壓縮圖像的灰度級
function?changeout=change(Agrade)
[MNO]=size(A);
%將A轉化為會的圖像
if?O?==?1
????A=A;
else
????A=rgb2gray(A);
end
changeout=zeros(MN);
for?i?=?1:M
????for?j?=?1:N
????????for?n?=?1:grade
????????????s=256/grade;
????????????if?(n-1)*s<=A(ij)?&?(n-1)*s+(s-1)?>=A(ij)
????????????????changeout(ij)?=?n-1;
????????????????
????????????end
????????end
????end
end
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????301??2012-03-27?14:24??灰度共生矩陣\change.asv
?????文件????????415??2012-03-27?14:55??灰度共生矩陣\change.m
?????文件???????2116??2012-03-27?14:54??灰度共生矩陣\features.asv
?????文件???????2079??2012-03-27?15:03??灰度共生矩陣\features.m
?????文件????????980??2012-03-27?13:42??灰度共生矩陣\GLCM.m
?????文件????????127??2012-03-27?11:25??灰度共生矩陣\main.asv
?????文件????????392??2012-03-27?15:52??灰度共生矩陣\main.m
?????文件???????3960??2012-03-27?11:15??灰度共生矩陣\Texture.asv
?????文件??????20992??2012-03-27?10:49??灰度共生矩陣\特征代表的含義.doc
?????文件??????64598??2012-03-27?09:28??灰度共生矩陣\特征計算方法.pdf
?????目錄??????????0??2012-03-27?15:49??灰度共生矩陣
-----------?---------??----------?-----??----
????????????????95960????????????????????11
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