day4 边缘检测Canny

1.canny边缘检测

# coding=utf-8

import cv2

import numpy as np

filename = 'woman.JPEG'

#读入图像，以灰度格式

img = cv2.imread(filename)

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

canny1 = cv2.Canny(img,200,300)

                  #200：最小阈值   300：最大阈值

                  #灰度梯度高于maxVal被认为是边界

                  #低于minVal抛弃

cv2.imshow("canny",canny1)

cv2.waitKey()

cv2.destroyAllWindows()

2.pyplot 应用

#-*- coding:utf-8 -*-

import cv2

import numpy as np

from matplotlib import pyplot as plt

filename = 'woman.JPEG'

img = cv2.imread(filename,0)

canny1 = cv2.Canny(img,200,300)

#plt.subplot(121),plt.imshow(img,cmap='woman')

plt.subplot(121),plt.imshow(img,cmap='gray')  #必须是gray

#1行2列 第2个图像

plt.subplot(122), plt.imshow(canny1,'gray')

plt.title('Edge Image')          #标题

plt.xticks([]), plt.yticks([])   #去除x y 轴

plt.xlim([0,500])               #图像y轴 0-500

plt.show()