程式好好玩

import cv2
import numpy as np

image = cv2.imread("./images/coins.png")

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

blurred = cv2.GaussianBlur(gray, (11, 11), 0)

canny = cv2.Canny(blurred, 30, 150)
#canny_dilate = cv2.dilate(canny, None, iterations=1)
#canny_erode = cv2.erode(canny_dilate, None, iterations=1)

(_, cnts, _) = cv2.findContours(canny.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)

print("I count {} coins in this image". format(len(cnts)))

contours = image.copy()
cv2.drawContours(contours, cnts, -1, (0, 255, 0), 2)

# loop over the contours individually
centroid = image.copy()
for c in cnts:
	# Area
	print(cv2.contourArea(c))
	# perimeter
	print(cv2.arcLength(c,True))

	# centroid from moments
	M = cv2.moments(c)

 	cx = int(M["m10"]/M["m00"])
 	cy = int(M["m01"]/M["m00"])

	cv2.circle(centroid, (cx, cy), 5, (0, 0, 255), -1)

result = np.hstack([contours, centroid])
cv2.imshow("Result:", result)
cv2.waitKey(0)

參考

https://docs.opencv.org/3.1.0/dd/d49/tutorial_py_contour_features.html