Dividing the image into blocks
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I have a image that I want to divide into blocks until each pixel in block have same value. For example in the link below I have an image
The image consists of waters ,leaves and green parts. I want to keep dividing into blocks until it contains the same value.
Please help.
4 个评论
Image Analyst
2012-11-27
I didn't see a picture immediately either. When I clicked on the download link, my company threw up a page that says they've forbidden us to go to that web site. Please pick a site where we can see the image immediately, like tinypic.com or dozens of others.
What do you mean "grouped" or "in a block"? I think of a block as rectangular - what if your contiguous set of gray levels is not rectangular? Can you have blob-shaped "blocks"? If so are you talking about connected components labeling like done with bwlabel and bwconncomp?
回答(2 个)
Image Analyst
2012-11-27
kash, I know you've been doing image processing for over a year now and I know you know about bwlabel() and bwconncomp(), so tell me why doing something like
labeled67blobs = bwlabel(grayImage == 67); % Similar for any other number.
is not doing what you want?
Salma Hassan
2018-9-11
编辑:Walter Roberson
2018-9-11
i=imread('image_1_0.png');
i=imresize(i,[256 256]);
a=64; b=64; %window size
x=size(i,1)/a; y=size(i,2)/b;
m=a*ones(1,x); n=b*ones(1,y);
C =mat2cell(i,m,n);
C = C(:);
%# display tiles i subplots
for j=1:a*b
block_image = mean2(C{j});
if block_image > 10
imshow( C{j} )
end
end
5 个评论
suha athab
2018-11-30
编辑:Image Analyst
2018-11-30
Your code is very useful for me, but I wonder, if I can display only the block with maximum mean value, what will I do? Please answer me.
Image Analyst
2018-11-30
It is not necessary that you do ONLY that. You can do whatever you want. You can keep track of the means for all block and display only the single block that has the highest mean if you want. See my attached blockproc demos.
另请参阅
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