matlab：纹理分类(matlab: texture classification)

matlab：纹理分类(matlab: texture classification)

我有这样的组织学图像：

从图像中我们可以观察到有两种不同的细胞。

和

有什么方法可以将这两种类型的细胞分成两组吗？

I have a histology image like this:

From the image, we can observe there are two kinds of different cells.

and

Is there any way that I can separate these two types of cells into two groups?

最满意答案

如何使用原始图像和以前的代码来实现这一目标？

% % % your old code I=imread(file); t1=graythresh(I); k1=im2bw(I,t1); k1=~k1; se = strel('disk',1); k0=imfill(~k1,'holes'); cc = conncomp(k0); k0(cc.PixelIdxList{1})=0; k1=imfill(k1,'holes'); mask=k0 | k1; %%%%%%%%%%%%%%%%%%

这会给你：

I=rgb2hsv(I); I=double(I); I1=I(:,:,1); % again, the channel that can maximizing the margin between donut and full circle Imask=(I1-0.2).*(I1-0.9)<0; k2=mask-Imask; k2=bwareaopen(k2,100);

这会给你：

k2=mask-Imask; I2=zeros(size(I1,1),size(I1,2),3); I2(:,:,1)=(k2==1)*255; I2(:,:,3)=((I1-0.2).*(I1-0.9)<0)*255; imshow(I2)

最后会给你（这两种类型存储在rgb图像中的两个通道中）：

How about using your raw image and previous code to achieve this?

% % % your old code I=imread(file); t1=graythresh(I); k1=im2bw(I,t1); k1=~k1; se = strel('disk',1); k0=imfill(~k1,'holes'); cc = conncomp(k0); k0(cc.PixelIdxList{1})=0; k1=imfill(k1,'holes'); mask=k0 | k1; %%%%%%%%%%%%%%%%%%

This will give you:

I=rgb2hsv(I); I=double(I); I1=I(:,:,1); % again, the channel that can maximizing the margin between donut and full circle Imask=(I1-0.2).*(I1-0.9)<0; k2=mask-Imask; k2=bwareaopen(k2,100);

This will give you:

k2=mask-Imask; I2=zeros(size(I1,1),size(I1,2),3); I2(:,:,1)=(k2==1)*255; I2(:,:,3)=((I1-0.2).*(I1-0.9)<0)*255; imshow(I2)

will finally give you (the two types are stored in two channels in the rgb image):