Python实现图像边缘检测算法

实现效果

###代码

1#!/usr/bin/env python3
2# coding=utf-8
3from PIL import Image
4import numpy as np
5
6
7img_name = input("输入要处理的图片\n")
8# img_name = "t3.png"
9img = Image.open(img_name).convert("L")  # 读图片并转化为灰度图
10img.show()
11img_array = np.array(img)  # 转化为数组
12
13w, h = img_array.shape
14
15img_border = np.zeros((w-1, h-1))
16
17for x in range(1, w - 1):
18    for y in range(1, h - 1):
19        Sx = img_array[x + 1][y - 1] + 2 * img_array[x + 1][y] + img_array[x + 1][y + 1] - \
20                img_array[x - 1][y - 1] - 2 * \
21                img_array[x - 1][y] - img_array[x - 1][y + 1]
22        Sy = img_array[x - 1][y + 1] + 2 * img_array[x][y + 1] + img_array[x + 1][y + 1] - \
23                img_array[x - 1][y - 1] - 2 * \
24                img_array[x][y - 1] - img_array[x + 1][y - 1]
25        img_border[x][y] = (Sx * Sx + Sy * Sy) ** 0.5
26
27img2 = Image.fromarray(img_border)
28img2.show()