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Hello everyone, I am using opencv to detect shapes that look like circles, my script reads a png image (center_cut.png) and perfectly detects the circles with their centroids, however when I pass another image where the circles are no longer perfect does not recognize them (left_cut). I would like to know if there is any way to detect shapes similar to circles, could someone please guide me? My code is as follows:

import cv2 import numpy as np

img = cv2.imread('center_cut.png',0) img = cv2.medianBlur(img,5) cimg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)

circles = cv2.HoughCircles(img,cv2.HOUGH_GRADIENT,1, 50, param1=80,param2=20,minRadius=3,maxRadius=25)

circles = np.uint16(np.around(circles)) for i in circles[0,:]: # Dibuja la circusnferencia del círculo cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2) # dibuja el centro del círculo cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)

cv2.imshow('círculos detectados',cimg) cv2.waitKey(0) cv2.destroyAllWindows()

Hello everyone, I am using opencv to detect shapes that look like circles, my script reads a png image (center_cut.png) and perfectly detects the circles with their centroids, however when I pass another image where the circles are no longer perfect does not recognize them (left_cut). I would like to know if there is any way to detect shapes similar to circles, could someone please guide me? My code is as follows:

import cv2
import numpy as np
np
  
img = cv2.imread('center_cut.png',0)
img = cv2.medianBlur(img,5)
cimg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)
  
circles = cv2.HoughCircles(img,cv2.HOUGH_GRADIENT,1, 50,
param1=80,param2=20,minRadius=3,maxRadius=25)param1=80,param2=20,minRadius=3,maxRadius=25)
 
circles = np.uint16(np.around(circles))
for i in circles[0,:]:
# Dibuja la circusnferencia del círculo
cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2)
# dibuja el centro del círculo
cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)
  
cv2.imshow('círculos detectados',cimg)
cv2.waitKey(0)
cv2.destroyAllWindows()cv2.destroyAllWindows()

Hello everyone, I am using opencv to detect shapes that look like circles, my script reads a png image (center_cut.png) and perfectly detects the circles with their centroids, however when I pass another image where the circles are no longer perfect does not recognize them (left_cut). I would like to know if there is any way to detect shapes similar to circles, could someone please guide me? My code is as follows:

import cv2
import numpy as np

img = cv2.imread('center_cut.png',0)
img = cv2.medianBlur(img,5)
cimg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)

circles = cv2.HoughCircles(img,cv2.HOUGH_GRADIENT,1, 50,
                             param1=80,param2=20,minRadius=3,maxRadius=25)


circles = np.uint16(np.around(circles))
for i in circles[0,:]:
    # Dibuja la circusnferencia del círculo
    cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2)
    # dibuja el centro del círculo
    cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),3)

cv2.imshow('círculos detectados',cimg)
cv2.waitKey(0)
cv2.destroyAllWindows()