边缘检测

边缘检测的实质就是卷积运算
canny边缘检测步骤
1灰度处理
2高斯滤波 去除噪声
3调用opencv中canny算法边缘检测

import cv2
import numpy as np
import random
img = cv2.imread('image0.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
cv2.imshow('src',img)
#canny 1 gray 2 高斯 3 canny 
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
imgG = cv2.GaussianBlur(gray,(3,3),0)# 高斯滤波
dst = cv2.Canny(img,50,50) #图片卷积——》th 门线，卷积之后大于运算后大于门线就是边缘点
cv2.imshow('dst',dst)
cv2.waitKey(0)

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

将bgr转为灰度图