Testing for erode and dilate parameters

countor_circle_detection.py

import numpy as np
import cv2
import os

i=0
os.chdir('./Testing3')
while i<11:
    j=0
    while j<11:
        
        image_color= cv2.imread("testme.jpg")
        image_ori = cv2.cvtColor(image_color,cv2.COLOR_BGR2GRAY)

        lower_bound = np.array([0,0,20])
        upper_bound = np.array([255,255,195])

        image = image_color

        mask = cv2.inRange(image_color, lower_bound, upper_bound)

        kernel = np.ones((3, 3), np.uint8)

        #Use erosion and dilation combination to eliminate false positives. 
        mask = cv2.erode(mask, kernel, iterations=i)
        mask = cv2.dilate(mask, kernel, iterations=j)

        closing = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)

        contours = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL,
                cv2.CHAIN_APPROX_SIMPLE)[1]
        if i==1:
            print(contours)
        array = []
        ii = 1
        num= len(contours)
        for c in contours:
            (x,y),r = cv2.minEnclosingCircle(c)
            center = (int(x),int(y))
            r = int(r)
            if r<=15:
                cv2.circle(image,center,r,(0,255,0),2)
                array.append(center)
                
        cv2.imwrite("erode"+str(i)+"_dilate"+str(j)+"_circles"+str(num)+".jpg", image_color)
        
        j += 1
    i += 1