Created
August 20, 2022 05:16
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Image moments help you to calculate some features like center of mass of the object, area of the object etc. The function cv2.moments() gives a dictionary of all moment values calculated. See the code:
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| import cv2 | |
| import numpy as np | |
| img = cv2.imread('star.jpg',0) | |
| ret,thresh = cv2.threshold(img,127,255,0) | |
| contours,hierarchy = cv2.findContours(thresh, 1, 2) | |
| cnt = contours[0] | |
| M = cv2.moments(cnt) | |
| print(M) |
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From this moments, you can extract useful data like area, centroid etc.
cx = int(M['m10']/M['m00'])
cy = int(M['m01']/M['m00'])
Contour area is given by the function cv2.contourArea() or from moments, M[‘m00’]:
area = cv2.contourArea(cnt)
Also contour perimeter:
perimeter = cv2.arcLength(cnt,True)
More info: https://opencv24-python-tutorials.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_contours/py_contour_features/py_contour_features.html