Spatial and specral entropy features

2021 1 29
0 个回答
10 次查看（30 天）

0 个投票

function f = feature_extract( imdist ,scale)
f=[];
imdist=rgb2gray(imdist);
weight=[0.2 0.8];
for i=1:scale
im=imdist;
fun0=@(x)secal(x);
emat=blkproc(im,[8 8] ,fun0);
sort_t = sort(emat(:),'ascend');
len = length(sort_t);
t=sort_t(ceil(len*weight(1)):ceil(len*weight(2)));
mu= mean(t);
ske=skewness(sort_t);
f1=[ mu ske];
im=imdist;
fun1=@(x)fecal(x);
im=double(im);
femat=blkproc(im,[8 8],fun1);
sort_t = sort(femat(:),'ascend');
len = length(sort_t);
t=sort_t(ceil(len*weight(1)):ceil(len*weight(2)));
mu= mean(t);
ske=skewness(sort_t);
f2=[ mu ske]
f=[f f1 f2]
imdist = imresize(imdist,0.5);
end
end

请先登录，再回答此问题。

回答（0 个）

类别

在 帮助中心 和 File Exchange 中查找有关 Descriptive Statistics and Visualization 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by