(OpenCV) Help to improve code for object detection and finding center of it

[saoko]

Hello. I'm writing the code to find contours and extract the bounding rectangle coordinates, then find center coordinate and draw center point. But I'm not satisfied with result.

Here's a code in Python:

import cv2
import numpy as np
import imutils

image = cv2.imread('res.png')
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

blurred = cv2.GaussianBlur(gray_image, (7,7) ,10)
thresh = cv2.threshold(blurred, 160, 255, cv2.THRESH_BINARY)[1]
cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = imutils.grab_contours(cnts)

for c in cnts: 
    M = cv2.moments(c)
    cX = int(M["m10"] / M["m00"])
    cY = int(M["m01"] / M["m00"])

    cv2.drawContours(image, [c], -1, (0, 255, 0), 2)
    cv2.circle(image, (cX, cY), 4, (255, 255, 255), -1)

    cv2.imshow("Image", image)

cv2.waitKey(0)
cv2.destroyAllWindows()

This is what I get now:


This is what I expect to get:


Why I get such result? Please help to improve this code.
Thanks!