I'm working on an acne detection problem. So far I have applied a canny edge detector and want to find the five pimples on the cheek. I've been trying to use a HoughCircle detector but I can't seem to have any luck. Please let me know if y'all have a solution
import sys
import cv2
import numpy as np
from skimage import io
from skimage import feature
def main(argv):
right_cheek_pic = "right_cheek.jpg"
right_file = argv[0] if len(argv) > 0 else right_cheek_pic
# Loads an image
src1 = cv2.imread(right_file, cv2.IMREAD_COLOR)
gray = cv2.cvtColor(src1, cv2.COLOR_BGR2GRAY)
gray = cv2.medianBlur(gray, 7)
edges = cv2.Canny(gray,40,90)
rows = gray.shape[0]
circles = cv2.HoughCircles(edges, cv2.HOUGH_GRADIENT, 2,rows/16,
param1=200, param2=100,
minRadius=10, maxRadius=60)
right_cheek_counter = 0
if circles is not None:
circles = np.uint16(np.around(circles))
for i in circles[0, :]:
right_cheek_counter += 1
center = (i[0], i[1])
# circle center
cv2.circle(edges, center, 1, (0, 100, 100), 3)
# circle outline
radius = i[2]
cv2.circle(edges, center, radius, (255, 0, 255), 3)
print (right_cheek_counter, "pimple(s) found on right cheek")
cv2.imshow("right_cheek_pimples.jpg", edges)
#cv2.imshow("left_cheek_pimples.jpg", src3)
cv2.waitKey(0)
return 0
if __name__ == "__main__":
main(sys.argv[2:])[C:\fakepath\right_cheek.jpg](/upfiles/1519203057315223.jpg)
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