14、OpenCV Python 直线检测

__author__ = "WSX"
import cv2 as cv
import numpy as np
#-----------------霍夫变换---------------------
#前提条件： 边缘检测完成
def line_detection(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    edges = cv.Canny(gray, 50, 150, apertureSize=3)
    lines = cv.HoughLines(edges, 1, np.pi/180, 200)
    for line in lines:
        print(type(lines))
        rho, theta = line[0]
        a = np.cos(theta)
        b = np.sin(theta)
        x0 = a * rho
        y0 = b * rho
        x1 = int(x0+1000*(-b))
        y1 = int(y0+1000*(a))
        x2 = int(x0-1000*(-b))
        y2 = int(y0-1000*(a))
        cv.line(image, (x1, y1), (x2, y2), (0, 0, 255), 2)
    cv.imshow("image-lines", image)


def line_detect_possible_demo(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    edges = cv.Canny(gray, 50, 150, apertureSize=3)
    lines = cv.HoughLinesP(edges, 1, np.pi/180, 100, minLineLength=50, maxLineGap=10)
    for line in lines:
        print(type(line))
        x1, y1, x2, y2 = line[0]
        cv.line(image, (x1, y1), (x2, y2), (0, 0, 255), 2)
    cv.imshow("line_detect_possible_demo", image)

def main():
    img = cv.imread("1.JPG")
    cv.namedWindow("Show", cv.WINDOW_AUTOSIZE)
    cv.imshow("Show", img)
    line_detect_possible_demo(img)

    cv.waitKey(0)
    cv.destroyAllWindows()

main()