opencv学习笔记之霍夫圆检测(python版)

import cv2 as cv
import numpy as np

planets = cv.imread("planet_glow.jpg")
gay_img =cv.cvtColor(planets,cv.COLOR_BGRA2GRAY)
img  = cv.medianBlur(gay_img, 7)  #进行中值模糊，去噪点
cimg = cv.cvtColor(img, cv.COLOR_GRAY2BGR)
circles = cv.HoughCircles(img,cv.HOUGH_GRADIENT, 1, 120, param1=100, param2=30, minRadius=0, maxRadius=0)

circles = np.uint16(np.around(circles))
print(circles)


for i in circles[0,:]: #遍历矩阵每一行的数据
    cv.circle(planets, (i[0],i[1]),i[2],(0,255,0) ,2)
    cv.circle(planets, (i[0], i[1]),2, (0,0,255) ,3)         


cv.imshow("gay_img", planets)
cv.waitKey(0)
cv.destroyAllWindows()

样图：

效果图：(按照书上设置的参数效果不好，cv.medianBlur(gay_img, 7) 把第二个参数调成7以后才得到最终效果 )