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图像边缘检测算法研究+文献综述

时间:2019-02-21 16:33来源:毕业论文
基于一阶微分的Prewitt算子、Krisch算子、Roberts算子、Sobel算子、基于高阶微分的DoG算子、不同阈值LoG算子、Laplacian算子等微分算子,紧接着针对几种算子的优缺点提出了几种改进型

摘要伴随着计算机数字处理技术的快速迅猛发展,对图像边缘检测技术的探索研究已经成为图像处理领域中的重中之重,这是图像分析处理中最基本最广泛的问题,是分割图像、攫取图像区域形状以及识别目标区域的十分重要的基础与前提。在本文中主要内容如下所示:
首先,非常系统的讲解了数字图像处理的一些基本的理念以及适用范围、边缘检测技术研究的一些最基本概念及其背景意义,发展的历史及现状
随后,由于边缘检测算法种类繁多纷繁复杂,本文只介绍几种非常具有代表性的现有条件下可实现算法。在本文中我们首先介绍了较为经典较为常用、也是一般教科书常见的图像边缘检测微分算子,如基于一阶微分的Prewitt算子、Krisch算子、Roberts算子、Sobel算子、基于高阶微分的DoG算子、不同阈值LoG算子、Laplacian算子等微分算子,紧接着针对几种算子的优缺点提出了几种改进型。随后简要介绍了几种基于仿生算法的算法建模流程及其改进型,如粒子群算法、蚁群算法和鱼群算法等。最后提出两个重要代表性算法数学形态学算法、不同阈值的Canny算子予以补充。
对上述算法进行了较为细致的理论分析和仿真计算,对计算结果进行多方面多角度的分析对比。最后得出几种算法的相对优缺点及适用范围,找出算法实现较为简单、计算较为简便、适用性强且边缘检测性能良好的实用性算法。33447
关键词  边缘检测 经典微分算子 仿生算法
毕业论文设计说明书外文摘要 源自$六l维,论:文w网)加7位QQ3249^114 www.lwfree.cn
Title     Image Edge Detection Algorithm                   
Abstract
With the rapid development of computer technology in digital processing, exploration and research of image edge detection technology has become the most important field of image processing. This is the most basic and universal problem in splitting image processing and is the pretty important basis and premise of image, catching very important areas of an image and identifying the shape of the target area. The main contents are as follows:
  First of all, introduce basic concepts and scope of digital image processing comprehensively, and some basic concepts、background and significance of edge detection technology, history of development and current situation. Subsequently, due to the wide variety of edge detection, this article only describes some representative algorithms. In this article some classic edge detection differential operator were introduced, such as those Prewitt operator , Roberts operator, Sobel operator etc. based on first-order differential, and  DoG operator, Laplacian operator, different threshold values of LoG operator based on second-order differential and other basic principles.Then check advantage and disadvantage of several classic operators,and propose some improved ones. After that ,briefly introduce several modeling algorithm based on bionic and some improved ones, such as Particle swarm optimization algorithms, ant and fish colony optimization algorithm .Finally,two important and basic mathematical morphology algorithm ,different threshold values of Canny operator are introduced.
Analyze and simulate the above algorithm theory, analyze and compare the results above in various different angles. At last, catch the conclusion the relative merits and demerits of several algorithms. Find the algorithm which is relatively easy to be calculated and be reacted, and get perfect performance of edge detection algorithm. 源自$六l维,论:文w网)加7位QQ3249^114 www.lwfree.cn
Keywords  edge detection、classical differential operator、bionic algorithm
目   次
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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