cv2.moment()

# convert image to grayscale image
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gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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# convert the grayscale image to binary image
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ret,thresh = cv2.threshold(gray_image,127,255,0)
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# calculate moments of binary image
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M = cv2.moments(thresh)
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# calculate x,y coordinate of center
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cX = int(M["m10"] / M["m00"])
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cY = int(M["m01"] / M["m00"])
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# put text and highlight the center
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cv2.circle(img, (cX, cY), 5, (255, 255, 255), -1)
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cv2.putText(img, "centroid", (cX - 25, cY - 25),cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 255, 255), 2)
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# display the image
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cv2.imshow("Image", img)
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cv2.waitKey(0)