## MATLAB环境下的图像微分边缘检测算法设计+程序

Abstract
In actual image processing applications, the edge of the image is a basic feature of the image, often used in high-level image. It is the basis of image recognition, image segmentation, image enhancement and image compression, and in these areas have a more widely used.
This paper studies the number of edge detection algorithm. In this paper, the edge detection algorithm is pided into three categories: first-order differential edge detection algorithm, the second order differential edge detection algorithm and best Sobel edge detection algorithm. First-order differential edge detection algorithm also includes Robert operator, Prewitt operator and Kirsch operator, second order differential edge detection algorithm comprises Laplacian operator, LOG operator and Canny operator. This article introduced one by one operator algorithm works. 源`自<六:维;论-文>网/www.lwfree.cn
Finally intuitive to show each operator edge detection by experimental results. Reuse analysis Sobel operator edge detection operator at the edge noise and no noise in the case of extraction conditions, and improved Sobel operator, so that in the presence of noise can be very good to extract the edges.
Keywords: edge detection image processing  Matlab   First-order   differential operator      Second-order differential operator       Sobel detection algorithm
目录

Abstract    II
1 绪 论    1
1.1图像边缘处理的意义    1
1.2数字图像处理微分的边缘检测算法的研究背景    2
1.3图像边缘检测算法的国内外研究现状    3
1.4图像边缘检测算法的研究趋势    3
2 图像微分边缘检测算法    5
2.1 图像边缘检测的定义    5
2.2 边缘检测法    5
3 图像微分边缘检测算子    7
3.1 基于一阶微分的边缘检测算子    7
3.1.1 Roberts算子    7
3.1.2 Prewitt 算子    8
3.1.3 Kirsch算子    9
3.2 基于二阶微分边缘检测算法    9
3.2.1 Laplacian算子    10
3.2.2 LOG算子    12
3.2.3 Canny算子    13
4 最佳Sobel边缘检测算法    15
4.1 Sobel图像边缘检测算法    15
4.2 改进的Sobel边缘检测算法    16
4.3 Sobel算子的最佳阈值选取    16 源`自<六:维;论-文>网/www.lwfree.cn
5 实验结果与分析    19
5.1 一阶微分算法的实验结果与分析    19
5.2二阶微分算法的实验结果与分析    20 MATLAB环境下的图像微分边缘检测算法设计+程序:http://www.lwfree.cn/zidonghua/20191010/40457.html
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