Python OpenCV 霍​​夫圆返回 None

Dav*_*ran 5 python opencv image-processing hough-transform

None在将霍夫圆合并到我正在尝试编写的跟踪程序的主代码中之前,我试图弄清楚霍夫圆,但除了从圆中取出之外,我似乎什么也得不到 。我使用孟加拉国旗作为我的图像,因为它很简单并且很容易检测到。这是我的代码:

import numpy as np
import cv2


img = cv2.imread('Capture.PNG')

grayput = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

circles = cv2.HoughCircles(grayput, cv2.cv.CV_HOUGH_GRADIENT, 1, 20, param1 =50, param2 =10, minRadius=10, maxRadius=40)
print (circles)

    # need circles 
if circles is not None:
    # convert the coord. to integers
    circles = np.round(circles[0, :]).astype("int")

    # loop over the (x, y) coordinates and radius of the circles
    for (x, y, r) in circles:
        # draw the circle in the output image
        cv2.circle(img, (x, y), r, (0, 0, 0), 4)


cv2.imwrite("image.PNG",img)
Run Code Online (Sandbox Code Playgroud)

boa*_*der -2

以下代码将为您提供非 None圆圈:

import numpy as np
import cv2

img = cv2.imread("../images/opencv_logo.png", 0)
img = cv2.medianBlur(img,5)
cimg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)
cv2.imshow("grayscale", cimg)
cv2.waitKey(0)

circles = cv2.HoughCircles(img,cv2.HOUGH_GRADIENT,1,20,
                                    param1=50,param2=30,minRadius=0,maxRadius=0)
print (circles)
Run Code Online (Sandbox Code Playgroud)

事实上,输出是:

[[[  45.5         133.5          16.50757408]
  [  97.5          45.5          16.80773544]
  [ 147.5         133.5          16.32482719]]]
Run Code Online (Sandbox Code Playgroud)


注意:该代码片段使用以下内容作为其输入图像:

在此输入图像描述

  • 否决:这个答案没有解释为什么可能会返回 None,或者为什么给定的代码不返回 None。 (9认同)