segment object from saliency map
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I have obtained a saliency map from an image..... Please can someone help me to segment the object using the saliency map using a simple way.....
The original image is
The saliency map image is
Please do reply.
5 个评论
Image Analyst
2014-4-11
What do you want to segment from it? Leaf? Trellis? Water droplets? Leaf veins?
Elysi Cochin
2014-4-11
编辑：Image Analyst
2014-4-12
sir the full leaf is the object.... or another image as
image
saliency map
Image Analyst
2014-4-11
编辑：Image Analyst
2014-4-11
Another post I have to fix??? Please read this: http://www.mathworks.com/matlabcentral/answers/13205-tutorial-how-to-format-your-question-with-markup
Star Strider
2014-4-12
FWIW, we do appreciate your fixing them!
Image Analyst
2014-4-12
I hope she'd taken the hint and fixed it, but I guess not, so I just fixed it now, which you can see if you "show older comments." Sometimes when they post on a web site instead of posting to MATLAB Central, the web link is not correct because it's the whole web page with advertisements and all kinds of stuff, instead of just an image. In cases like that you have to right click on the image and say "View image" to get the true link to the image. Of course it's best to not use third party sites and just upload your image to MATLAB Central instead of someone else's web site.
采纳的回答
Image Analyst
2014-4-11
Just threshold:
binaryImage = saliencyImage > 100; % or whatever.
% Fill holes
binaryImage = imfill(binaryImage, 'holes');
imshow(binaryImage);
7 个评论
Elysi Cochin
2014-4-12
Image Analyst
2014-4-12
I don't know why not. I did, as shown in the attached m-file (below in blue text). Change the folder and filename in it to run it with your image. You can uncomment bwareaopen if you want to get rid of the small blob below the leaf.
Elysi Cochin
2014-4-14
Elysi Cochin
2014-4-24
编辑：Elysi Cochin
2014-4-24
Image Analyst
2014-4-24
Well somehow you're going to have to define what is correct and incorrect via a different, more trusted method. Perhaps that's just by manually tracing it with imfreehand to get a mask. See attached demos.
Elysi Cochin
2014-4-24
Image Analyst
2014-4-24
The mask is the foreground and background. There is nothing to compute. To compare you then just do an exclusive OR on the two images - your "true" one that you masked and define as being the absolute truth, and the binary image that you got from thresholding. Personally I'd trust the thresholding one as being the more accurate of the two so maybe to validate all you want is to show good correlation.
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