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This article mainly introduces how to use Python OpenCV to find the two curves directly the shortest distance related knowledge, the content is detailed and easy to understand, the operation is simple and fast, has a certain reference value, I believe that after reading this article on how to use Python OpenCV to find the two curves directly the shortest distance article will have a harvest, let's take a look at it.

Import numpy as npimport mathimport cv2def cal_pt_distance (pt1, pt2): dist = math.sqrt (pow (pt1 [0]-pt2 [0], 2) + pow (pt1 [1]-pt2 [1], 2)) return distfont = cv2.FONT_HERSHEY_SIMPLEXimg = cv2.imread ('01.png') # cv2.imshow (' src',img) gray = cv2.cvtColor (img,cv2.COLOR_BGR2GRAY) gray = cv2.GaussianBlur (gray, (3Magne3), 0) ret,thresh = cv2.threshold (gray, 150,255) Cv2.THRESH_BINARY) image,contours,hierarchy = cv2.findContours (thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE) # thresh,contours,hierarchy = cv2.findContours (thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE) flag = FalseminDist = 10000minPt0 = (0L0) minPt1 = (0L0) for i in range (0 Len (contours [1]): # traverse all contours pt = tuple (contours [1] [I] [0]) # print (pt) min_dis = 10000 min_pt = (0L0) # distance = cv2.pointPolygonTest (contours [1], pt, False) for j in range (0Len (contours [0]): pt2 = tuple (contours [0] [j] [0]) distance = cal_pt_distance (pt, pt2) # print (distance) if distance

< min_dis: min_dis = distance min_pt = pt2 min_point = pt if min_dis < minDist: minDist = min_dis minPt0 = min_point minPt1 = min_pt temp = img.copy() cv2.drawContours(img,contours,1,(255,255,0),1) cv2.line(temp,pt,min_pt,(0,255,0),2,cv2.LINE_AA) cv2.circle(temp, pt,5,(255,0,255),-1, cv2.LINE_AA) cv2.circle(temp, min_pt,5,(0,255,255),-1, cv2.LINE_AA) cv2.imshow("img",temp) if cv2.waitKey(1)&0xFF ==27: #按下Esc键退出 flag = True break if flag: breakcv2.line(img,minPt0,minPt1,(0,255,0),2,cv2.LINE_AA)cv2.circle(img, minPt0,3,(255,0,255),-1, cv2.LINE_AA)cv2.circle(img, minPt1,3,(0,255,255),-1, cv2.LINE_AA)cv2.putText(img,("min_dist=%0.2f"%minDist), (minPt1[0],minPt1[1]+15), font, 0.7, (0,255,0), 2)cv2.imshow('result', img)cv2.imwrite('result.png',img)cv2.waitKey(0)cv2.destroyAllWindows() 原图：

Result picture:

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