我是opencv-python的新手。我通过houghtransformP找到了图像中的线条。从霍夫变换绘制的线是不连续的，并给出多条线。我只需要为边缘画一条线，然后找到所找到的线之间的“距离”即可。

输出图像如下所示

"""
Created on Fri Nov  8 11:41:16 2019

@author: romanth.chowan
"""

import cv2
import numpy as np
import math


def getSlopeOfLine(line):
    xDis = line[0][2] - line[0][0]

    if (xDis == 0):
        return None

    return (line[0][3] - line[0][1]) / xDis

if __name__ == '__main__':
    inputFileName_ =r"C:\Users\romanth.chowan\Desktop\opencv\stent spec\2prox.jpeg"
    img = cv2.imread(inputFileName_)
    img1=cv2.GaussianBlur(img,(5,5),0)

    gray = cv2.cvtColor(img1,cv2.COLOR_BGR2GRAY)
    edges = cv2.Laplacian(gray,cv2.CV_8UC1) # Laplacian Edge Detection
    lines = cv2.HoughLinesP(edges,1,np.pi / 180,300,10,10)
    print(len(lines))
    parallelLines = []

    for a in lines:
        for b in lines:
            if a is not b:
                slopeA = getSlopeOfLine(b)
                slopeB = getSlopeOfLine(b)

                if slopeA is not None and slopeB is not None:
                    if 0 <= abs(slopeA - slopeB) <= 10:
                       parallelLines.append({'lineA': a,'lineB': b})

    for pairs in parallelLines:
        lineA = pairs['lineA']
        lineB = pairs['lineB']

        leftx,boty,rightx,topy = lineA[0]
        cv2.line(img,(leftx,boty),(rightx,topy),(0,255),2)


        left_x,bot_y,right_x,top_y = lineB[0]
        cv2.line(img,(left_x,bot_y),(right_x,top_y),2)

    cv2.imwrite('linesImg.jpg',img)

画线后输出图像：