@Image Analyst is there any way such as finding histogram equation of pixels and background is gray and calculalating average or mean of gray pixels and tumour is white and calculating mean of highest white pixels and subtract this and get tumor ? but I don't know how we do this with codes.
How can I do image segmentation without using threshold level number ?
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I have a mammogram image . I need to segment tumor from image with exact shape and location.
I tried im2bw(I, 0.7) or imbinarize(I, 'adaptive') or imbinarize(I, 'global')...
im2bw is the best way for result but for every image I need to change level number ( I mean 0.7 )
and I couldn't get exact shape with level number sometimes I give 0,657 .. to get closest tumor shape.
every time giving a number and see result is tiring to get the best exact shape.
I added breast image and tumor is obvious white circle tissue.
How can we segment tumor from image with best method ?
the image is taken from miasdatabase
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Amit
2021-6-6
编辑:Amit
2021-6-6
Seeing the variations in 100s of database images and writing code which suits for all database images is the purpose.
I suppose there is limit on number of database images that can be shared on this forum... certainly 100s of database images can not be shared on this forum...
If its possible to share such huge data here then I dont mind to continue discussion on this forum ...
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