圆检测

其他

发布时间 : 2021-01-02 15:23

阅读 :

import cv2 as cv
import numpy as np


def detect_circles_demo(image):
    dst = cv.pyrMeanShiftFiltering(image, 10, 100)
    cimage = cv.cvtColor(dst, cv.COLOR_BGR2GRAY)
    circles = cv.HoughCircles(cimage, cv.HOUGH_GRADIENT, 1, 20, param1=50, 
                              param2=30, minRadius=0, maxRadius=0)
    circles = np.uint16(np.around(circles))
    for i in circles[0, :]:
        cv.circle(image, (i[0], i[1]), i[2], (0, 0, 255), 2)
        cv.circle(image, (i[0], i[1]), 2, (255, 0, 0), 2)
    cv.imshow('circles', image)


src = cv.imread('./12.png')  # blue, green, red
cv.namedWindow('input image', cv.WINDOW_AUTOSIZE)
cv.imshow('input image', src)
detect_circles_demo(src)
cv.waitKey(0)

cv.destroyAllWindows()

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