问使用Python /计算机视觉等获取图像中的顶点？(图片附后)

EN

import numpy as np
import cv2 as cv2
import math

img_path = 'hSAdf.png'

# Read the original image
img = cv2.imread(img_path) 

# Convert to graycsale
img_gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
dst = cv2.threshold(img_gray, 50, 255, cv2.THRESH_BINARY)[1]

cdst = cv2.cvtColor(dst, cv2.COLOR_GRAY2BGR)

lines = cv2.HoughLines(dst, 1, np.pi / 180, 180, None, 0, 0)

# Drawing the lines
if lines is not None:
    for i in range(0, len(lines)):
        rho = lines[i][0][0]
        theta = lines[i][0][1]
        a = math.cos(theta)
        b = math.sin(theta)
        x0 = a * rho
        y0 = b * rho
        pt1 = (int(x0 + 10000*(-b)), int(y0 + 10000*(a)))
        pt2 = (int(x0 - 10000*(-b)), int(y0 - 10000*(a)))
        cv2.line(cdst, pt1, pt2, (0,0,255), 3, cv2.LINE_AA)

cv2.imshow("Detected Lines (in red) - Standard Hough Line Transform", cdst)
cv2.imwrite("output.png", cdst)
cv2.waitKey(0)

#!/usr/bin/python3
# -*- coding: utf-8 -*-

import cv2
import numpy as np

img = cv2.imread("input.png", 0)

def fillhole(input_image):
    '''
    input gray binary image  get the filled image by floodfill method
    Note: only holes surrounded in the connected regions will be filled.
    :param input_image:
    :return:
    '''
    im_flood_fill = input_image.copy()
    h, w = input_image.shape[:2]
    mask = np.zeros((h + 2, w + 2), np.uint8)
    im_flood_fill = im_flood_fill.astype("uint8")
    cv2.floodFill(im_flood_fill, mask, (0, 0), 255)
    im_flood_fill_inv = cv2.bitwise_not(im_flood_fill)
    img_out = input_image | im_flood_fill_inv
    return img_out 

res = fillhole(img)

contours = cv2.findContours(res, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[0]

peri = cv2.arcLength(contours[945], True)
approx = cv2.approxPolyDP(contours[945], 0.04 * peri, True)

im = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
s = 10
for p in approx:
    p = p[0]
    print(p)
    im[p[1]-s:p[1]+s, p[0]-s:p[0]+s] = (255, 255, 0)

cv2.drawContours(im, contours, 945, (0, 200, 255), 3)

cv2.namedWindow("img", cv2.WINDOW_NORMAL)
cv2.imshow("img", im)
cv2.waitKey(0)