OpenCV Python拆分->；拉普拉斯->；HoughCircles=断言失败。

在分割通道、模糊分割结果（单独）并对组成组件应用拉普拉斯操作后，我尝试在上执行hough圆操作

img = cv2.imread(fileName)


b, g, r = cv2.split(img)
kSize = 3
gBlur = cv2.blur(g, (kSize, kSize))
print(gBlur.shape)
test = np.array([])
gEdges = cv2.Laplacian(gBlur, cv2.CV_64F)
circles = cv2.HoughCircles(gEdges, cv2.HOUGH_GRADIENT, 40, 10,
                        param1=50,param2=60,minRadius=2,maxRadius=15)

但是，我从OpenCV收到一个错误，声明：

OpenCV(3.4.1) Error: Assertion failed (!_image.empty() && 
_image.type() == (((0) & ((1 << 3) - 1)) + (((1)-1) << 3)) && 
(_image.isMat() || _image.isUMat())) in HoughCircles, file 
/io/opencv/modules/imgproc/src/hough.cpp, line 1659

OpenCV（3.4.1）错误：断言失败（！\u image.empty（）&&

---

_image.type（）==（（0）和（（1）您在

cv2.Laplacian

中提到的图像类型是问题所在。另一件事是您的代码没有完成。下面是已完成的代码

import cv2
import numpy as np
img = cv2.imread('stack1.png')    

b, g, r = cv2.split(img)
kSize = 3
gBlur = cv2.blur(g, (kSize, kSize))
print(gBlur.shape)
test = np.array([])
gEdges = cv2.Laplacian(gBlur, cv2.CV_8UC1)
circles = cv2.HoughCircles(gEdges, cv2.HOUGH_GRADIENT, 40, 10, param1=50,param2=60,minRadius=2,maxRadius=15)
circles = np.uint16(np.around(circles))
for i in circles[0,:]:
    # draw the outer circle
    cv2.circle(img,(i[0],i[1]),i[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(img,(i[0],i[1]),2,(0,0,255),3)

cv2.imshow('detected circles',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

import cv2
import numpy as np
img = cv2.imread('stack1.png')    

b, g, r = cv2.split(img)
kSize = 3
gBlur = cv2.blur(g, (kSize, kSize))
print(gBlur.shape)
test = np.array([])
gEdges = cv2.Laplacian(gBlur, cv2.CV_8UC1)
circles = cv2.HoughCircles(gEdges, cv2.HOUGH_GRADIENT, 40, 10, param1=50,param2=60,minRadius=2,maxRadius=15)
circles = np.uint16(np.around(circles))
for i in circles[0,:]:
    # draw the outer circle
    cv2.circle(img,(i[0],i[1]),i[2],(0,255,0),2)
    # draw the center of the circle
    cv2.circle(img,(i[0],i[1]),2,(0,0,255),3)

cv2.imshow('detected circles',img)
cv2.waitKey(0)
cv2.destroyAllWindows()