Hello, I've got huge problem, I need to calculate the centers of the objects(coin), but when objects are close to each other, and they touching each other, center is calculated as coomon to more than one coin.So i'm using wathershed, but after that, I can't get separated centers of coins.I don't know why.Help?
import numpy as np
import cv2
from matplotlib import pyplot as plt
import argparse
import imutils
import cv2
from math import sqrt, pi
from matplotlib import pyplot as plt
import numpy as np
point = 70
img = cv2.imread('14.png')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray,point,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
kernel = np.ones((4,3),np.uint8) #4/3
opening = cv2.morphologyEx(thresh,cv2.MORPH_OPEN,kernel, iterations = 2)
opening = cv2.bitwise_not(opening)
sure_bg = cv2.dilate(opening,kernel,iterations=3)#3
dist_transform = cv2.distanceTransform(opening,cv2.DIST_L2,5)
ret, sure_fg = cv2.threshold(dist_transform,0.7*dist_transform.max(),255,0)
sure_fg = np.uint8(sure_fg)
unknown = cv2.subtract(sure_bg,sure_fg)
ret, markers = cv2.connectedComponents(sure_fg)
markers = markers+1
markers[unknown==255] = 0
markers = cv2.watershed(img,markers)
img[markers == -1] = [0,0,0]
gray2 = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
#blurred = cv2.GaussianBlur(gray, (5, 5), 0)
thresh2 = cv2.threshold(gray2, point, 255, cv2.THRESH_BINARY)[1]
cnts = cv2.findContours(thresh2.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if imutils.is_cv2() else cnts[1]
cv2.imshow("thresh 2", thresh2)
count = 0
for c in cnts:
M = cv2.moments(c)
if M["m00"] != 0:
cX = int(M["m10"] / M["m00"])
cY = int(M["m01"] / M["m00"])
else:
cX, cY = 0, 0
cv2.circle(img, (cX, cY), 1, (0, 0, 255), -1)
cv2.putText(img, "center", (cX - 20, cY - 20), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255, 0, 0), 1)
area = cv2.contourArea(c)
#objPercent = (area/imgSize) *100
# print('AREA:'+str(objPercent))
if cX !=0 and cY != 0: count += 1
cv2.imshow("img after count", img)
gray2 = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
cv2.imshow("gray 2", gray2)
ret,thx = cv2.threshold(gray2,50,255,cv2.THRESH_BINARY)
cv2.imshow('binarzyation after', thx)
print('liczba obietkow:'+str(count))
https://zapodaj.net/87529699229b0.png.html <-- img if links higher doesn't work
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