OpenCV霍夫变换进行形状检测

Posted 2021-10-01 papaofdoudou

程序：

# -*-coding:utf-8 -*-
 
import cv2 as cv2
import numpy as np
 
# 标准霍夫变换
img = cv2.imread('new.png')
# img = cv2.imread('new1.png')
# img = cv2.imread('new2.png')
house = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  # 获取灰度图
edges = cv2.Canny(house, 50, 200)
lines = cv2.HoughLines(edges, 1, np.pi/180, 260)  # 霍夫变换返回的就是极坐标系中的两个参数  rho和theta
print(np.shape(lines))
lines = lines[:, 0, :]  # 将数据转换到二维
for rho, theta in lines:
    a = np.cos(theta)
    b = np.sin(theta)
    # 从图b中可以看出x0 = rho x cos(theta)
    #               y0 = rho x sin(theta)
    x0 = a*rho
    y0 = b*rho
    # 由参数空间向实际坐标点转换
    x1 = int(x0 + 1000*(-b))
    y1 = int(y0 + 1000*a)
    x2 = int(x0 - 1000*(-b))
    y2 = int(y0 - 1000*a)
    cv2.line(img, (x1, y1), (x2, y2), (0, 0, 255), 1)
cv2.imshow('img', img)
cv2.imshow('edges', edges)
cv2.waitKey(0)
cv2.destroyAllWindows()

运行结果：

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结束！