1336-2

import cv2


# 0
image = cv2.imread("test.png", cv2.IMREAD_COLOR)
cv2.imshow("result", image)
cv2.waitKey(0)

blurred = cv2.GaussianBlur(image, (5, 5), 0)

gray = cv2.cvtColor(blurred, cv2.COLOR_BGR2GRAY) 
cv2.imshow("result", gray)
cv2.waitKey(0)

edge = cv2.Canny(gray, 50, 150)
cv2.imshow("result", edge )
cv2.waitKey(0)


# 1
edge = cv2.bitwise_not(edge)
cv2.imshow("result", edge )
cv2.waitKey(0) 


contours = cv2.findContours(edge.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
cv2.drawContours(edge, contours[0], -1, (0, 0, 0), 1)
cv2.imshow("result", edge )
cv2.waitKey(0) 


# 2
nlabels, labels, stats, centroids = cv2.connectedComponentsWithStats(edge)


for i in range(nlabels):

	if i < 2:
		continue

	area = stats[i, cv2.CC_STAT_AREA]
	center_x = int(centroids[i, 0])
	center_y = int(centroids[i, 1]) 
	left = stats[i, cv2.CC_STAT_LEFT]
	top = stats[i, cv2.CC_STAT_TOP]
	width = stats[i, cv2.CC_STAT_WIDTH]
	height = stats[i, cv2.CC_STAT_HEIGHT]


	if area > 50:
		cv2.rectangle(image, (left, top), (left + width, top + height), 
				(0, 0, 255), 1)
		cv2.circle(image, (center_x, center_y), 5, (255, 0, 0), 1)
		cv2.putText(image, str(i), (left + 20, top + 20), 
				cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2);


cv2.imshow("result", image)
cv2.waitKey(0)