import numpy as np import cv2img = cv2.imread( ‘ 7.jpg ‘ )img =cv2.resize(img, (600, 800), interpolation= cv2.INTER_CUBIC)img = cv2.GaussianBlur(img,(3,3 ),0)gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)edges = cv2.Canny(gray,50,200,apert
import numpy as np import cv2 img = cv2.imread(‘7.jpg‘) img=cv2.resize(img, (600, 800), interpolation=cv2.INTER_CUBIC) img = cv2.GaussianBlur(img,(3,3),0) gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) edges = cv2.Canny(gray,50,200,apertureSize = 3) cv2.imwrite("canny_result.jpg", edges) lines = cv2.HoughLinesP(edges,1,np.pi/180,100,minLineLength=90,maxLineGap=20) print(lines.shape) for i in range(0,lines.shape[0]): for x1,y1,x2,y2 in lines[i]: print(x1,y1,x2,y2) cv2.line(img,(x1,y1),(x2,y2),(0,0,255),1) cv2.imshow("houghline",img) cv2.waitKey() cv2.destroyAllWindows()
来源:https://zhuanlan.zhihu.com/p/54468397