图像边缘检测算法研究+文献综述

Title     Image Edge Detection Algorithm
Abstract
With the rapid development of computer technology in digital processing, exploration and research of image edge detection technology has become the most important field of image processing. This is the most basic and universal problem in splitting image processing and is the pretty important basis and premise of image, catching very important areas of an image and identifying the shape of the target area. The main contents are as follows:
First of all, introduce basic concepts and scope of digital image processing comprehensively, and some basic concepts、background and significance of edge detection technology, history of development and current situation. Subsequently, due to the wide variety of edge detection, this article only describes some representative algorithms. In this article some classic edge detection differential operator were introduced, such as those Prewitt operator , Roberts operator, Sobel operator etc. based on first-order differential, and  DoG operator, Laplacian operator, different threshold values of LoG operator based on second-order differential and other basic principles.Then check advantage and disadvantage of several classic operators，and propose some improved ones. After that ，briefly introduce several modeling algorithm based on bionic and some improved ones, such as Particle swarm optimization algorithms, ant and fish colony optimization algorithm .Finally,two important and basic mathematical morphology algorithm ，different threshold values of Canny operator are introduced.
Analyze and simulate the above algorithm theory, analyze and compare the results above in various different angles. At last, catch the conclusion the relative merits and demerits of several algorithms. Find the algorithm which is relatively easy to be calculated and be reacted, and get perfect performance of edge detection algorithm. 源`自*六)维[论*文'网www.lwfree.cn
Keywords  edge detection、classical differential operator、bionic algorithm

1  引言（或绪论）    1
1.1 数字图像处理及边缘检测的意义    1
1.2 边缘检测的历史现状    2 图像边缘检测算法研究+文献综述:http://www.lwfree.cn/tongxin/20190221/30566.html
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