Python OpenCV寻找两条曲线之间的最短距离_Python

Python OpenCV寻找两条曲线之间的最短距离

2022-09-08 10:38迎迎一笑 Python

这篇文章主要为大家详细介绍了Python OpenCV寻找两条曲线之间的最短距离，文中示例代码介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们可以参考一下

本文实例为大家分享了Python OpenCV两条曲线直接最短距离的寻找方法，供大家参考，具体内容如下

				?

									import numpy as np

									import math

									import cv2

									def cal_pt_distance(pt1, pt2):

									  dist = math.sqrt(pow(pt1[0]-pt2[0],2) + pow(pt1[1]-pt2[1],2))

									  return dist

									font = cv2.FONT_HERSHEY_SIMPLEX

									img = cv2.imread('01.png')

									#cv2.imshow('src',img)

									gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

									gray = cv2.GaussianBlur(gray, (3,3), 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 = False

									minDist = 10000

									minPt0 = (0,0)

									minPt1 = (0,0)

									for i in range(0,len(contours[1])):#遍历所有轮廓

									  pt = tuple(contours[1][i][0])

									  #print(pt)

									  min_dis = 10000

									  min_pt = (0,0)

									  #distance = cv2.pointPolygonTest(contours[1], pt, False)

									  for j in range(0,len(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:

									    break

									cv2.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()