How to remove shadows from foreground after segmentation?

asked 2019-12-05 08:21:01 -0600

I am developing an algorithm in Python, which is supposed to identify the area of a leaf that contains spots to report the severity of a disease.

Therefore to be able to achieve the goal, I need to segment the image on foreground (leaf) and background.

During my research, I found out about LeafSnap (State of the Art) and follow the paper to segment the leaf on the image using OpenCV Expectation Maximization, which is trained using S and V form HSV color space; however, it still returns some false positives due to reflection or shadow.

Leaf Segmented

So, I'm trying to figure out a way to avoid or decrease the incidence of false positives. Any hint on it?

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answered 2019-12-08 07:30:22 -0600

Greydel
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updated 2019-12-08 18:30:02 -0600

Searching for the better way to do what you need y try inRange función after converting image to hsv, i use all hue and saturation range from 0 to 255 and value from 0 to 90.

I work in Java but is almost the same. My code is here https://github.com/greydelpf/opencv_f... and the result image is here: image description