python opencv 角点检测，锐化

import numpy as np
import cv2 as cv

original = cv.imread('box.jpg')
print(original.shape)
cv.imshow('box',original)

#灰度转化
gray = cv.cvtColor(original,cv.COLOR_BGR2GRAY)
eq_gray = cv.equalizeHist(gray)
cv.imshow("gray",gray)

#角点检测，主要针对规则的图片，检测出点然后相连就是规则的图形。
corners=cv.cornerHarris(gray, 7,5,0.05)#水平和垂直方向的阈值，步长，迭代精度
cv.imshow('corner',corners)
#锐化，边缘变得更加清晰
corners=cv.dilate(corners,None)

#用红色标注出角点
mixture= original.copy()
mixture[corners>corners.max()*0.001]=[0,0,255]
cv.imshow('mixyure',mixture)


cv.waitKey()