优设计网站,网站定制开发内容,郑州小程序网站开发,wordpress收录pOpenCV官方教程中文版 —— Hough 圆环变换 前言Hough 圆环变换 前言
目标
• 学习使用霍夫变换在图像中找圆形#xff08;环#xff09;
• 学习函数#xff1a;cv2.HoughCircles()
Hough 圆环变换 opencv_logo.png#xff1a;
# -*- coding: utf-8 -*-
import cv2
… OpenCV官方教程中文版 —— Hough 圆环变换 前言Hough 圆环变换 前言
目标
• 学习使用霍夫变换在图像中找圆形环
• 学习函数cv2.HoughCircles()
Hough 圆环变换 opencv_logo.png
# -*- coding: utf-8 -*-
import cv2
import numpy as np
from matplotlib import pyplot as plt
img cv2.imread(opencv_logo.png, 0)
img cv2.medianBlur(img, 5)
cimg cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
circles cv2.HoughCircles(img, cv2.HOUGH_GRADIENT, 1, 20,param150, param240, minRadius0, maxRadius0)
circles np.uint16(np.around(circles))
for i in circles[0, :]:# draw the outer circlecv2.circle(cimg, (i[0], i[1]), i[2], (0, 255, 0), 2)# draw the center of the circlecv2.circle(cimg, (i[0], i[1]), 2, (0, 0, 255), 3)plt.figure()
plt.subplot(121)
plt.imshow(img, cmapgray)
plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
plt.subplot(122)
plt.imshow(cimg, cmapgray)
plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
plt.show()
# Python: cv2.HoughCircles(image, method, dp, minDist, circles, param1, param2, minRadius, maxRadius)
# Parameters:
# image – 8-bit, single-channel, grayscale input image.
# 返回结果为 Output vector of found circles. Each vector is encoded as a
# 3-element floating-point vector (x, y, radius) .
# circle_storage – In C function this is a memory storage that will contain
# the output sequence of found circles.
# method – Detection method to use. Currently, the only implemented method is
# CV_HOUGH_GRADIENT , which is basically 21HT , described in [Yuen90].
# dp – Inverse ratio of the accumulator resolution to the image resolution.
# For example, if dp1 , the accumulator has the same resolution as the input image.
# If dp2 , the accumulator has half as big width and height.
# minDist – Minimum distance between the centers of the detected circles.
# If the parameter is too small, multiple neighbor circles may be falsely
# detected in addition to a true one. If it is too large, some circles may be missed.
# param1 – First method-specific parameter. In case of CV_HOUGH_GRADIENT ,
# it is the higher threshold of the two passed to the Canny() edge detector
# (the lower one is twice smaller).
# param2 – Second method-specific parameter. In case of CV_HOUGH_GRADIENT ,
# it is the accumulator threshold for the circle centers at the detection stage.
# The smaller it is, the more false circles may be detected. Circles,
# corresponding to the larger accumulator values, will be returned first.
# minRadius – Minimum circle radius.
# maxRadius – Maximum circle radius.
