different shape has the same Zernike moments value about mahotas HOT 4 OPEN

Thanks for the report. Could you post some code and the images where you see this issue?

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I mean the original images so I can run the example locally without the red and green contours.

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!pip install mahotas
import mahotas
import numpy as np
from google.colab.patches import cv2_imshow # this is for google colaborator env, you can use cv2.imshow() instead

thresh = None
img = cv2.imread('your_path/11.png',cv2.IMREAD_GRAYSCALE)
ret,thresh = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
img,contours,hierarchy = cv2.findContours(thresh.copy(), 1, 2)

cnt = sorted(contours, key = cv2.contourArea, reverse = True)[0]
(x,y),radius = cv2.minEnclosingCircle(cnt)
center = (int(x),int(y))
radius = int(radius)
print (center, radius)

z_im = mahotas.features.zernike_moments(thresh, radius, cm=center)
print (z_im)

and original pic is as following:

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@luispedro did you got the same result for those two images? Thanks a lot!

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