Reconstructing components from regionprops
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Hi!
I used the watershed in the Image Processing toolbox to detect certain objects, but I realize that it sometimes makes errors and mislabels one object as two, and sometimes two as one. I have a series of images, so it's easy to find instances where it didn't make this mistake for the same objects. And I found a way to identify where in the series it makes these mistakes.
Now I'd like to find a way to reconstruct these objects when they are mislabeled and am wondering how to go about this. I'd like to reconstruct all the properties- Area, Perimeter, CentroidX&Y, ConvexHull, ConvexImage, etc. I have some ideas for Area, Perimeter, and Centroid X&Y. However, I'm not sure how I'll reconstruct the ConvexHull and ConvexImage. Does anyone have any ideas how to approach this part of the problem?
Thanks for your suggestions!
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回答 (1 件)
Image Analyst
2020 年 8 月 22 日
Watershed is a problematic algorithm. It often produces oversegmentation. Here are some links to help:
8 件のコメント
Image Analyst
2020 年 9 月 25 日
Correct. Again, you're not measuring enough things, or the correct things, to distinguish them and determine the ground truth class.
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