毕业设计论文--几种常见的图像边缘检测算子及其比较（最后附全部VC代码，注释详尽）.docVIP

毕业设计论文--几种常见的图像 边缘检测算子及其比较 包括：Robert算子、Sobel算子、Prewitt算子、Robinson算子、Kirsch算子、Laplace算子: 数字图像，图像处理，边缘检测  ABSTRACT Images is the major media of human interaction and the objective world exploring. With the development of computer technology , the digital image processing is being used in more and more areas such as space exploration,communication technology, biomedicine, industrial production, weather forecasting, remote sensing and archaeology . Edge detection is an important part of digital image processing,it is an important premise for image segmentation, feature extraction and image recognition technology. Edge is the part of local image brightness which changes most observably?.The matter of the edge detection is to use some algorithms to pick up the the boundary which is between the object and the background. This paper introduces the concept of digital image processing and its using areas, the significance,the actuality and the trend of the edge detection, and some basic concepts.Through this paper we can learn some classic edge detection algorithms, such as Robert operator, Sobel operator, Pwitt operator, Rbinson operator,Laplace operator. By theoretical analysis and the results of the experiment ,this paper compares their respective pros and cons. KEY WORDS:digital image，image processing , edge detection 目录 前 言 1 第1章 绪论 3 1.1数字图像处理技术 3 1.2 边缘检测概述 7 1.2.1 边缘检测的重要性 7 1.2.2 边缘定义及常见的三种类型 8 1.2.3 边缘检测的一般步骤 9 1.2.4边缘检测现状与趋势 10 第2章 经典图像边缘检测算法 13 2.1 经典边缘检测的算法依据 13 2.2 几种经典边缘检测算法及比较 14 2.2.1 Roberts算子 14 2.2.2 Sobel算子 18 2.2.3 Prewitt算子 20 2.2.4 Robinson算子 22 2.2.5 Kirsch算子 24 2.2.6 Laplace算子 25 第3章 总结 30 致谢 32 参考文献 33 前 言 图像是人类获得信息的主要媒介。数字图像处理技术正随着现代科学技术的发展而发展，数字图像处理的应用越来越广，已经渗透到宇宙探索、通讯技术、电视电话、卫星通讯、数字电视、生物医学、工业生产、计算机科学、气象预报、军事技术、高能物理、侦缉破案、遥感技术及考古等领域。数字图像处理是利用计算机和其它高速、大规模的集成数字硬件对由光学信息转换成数字信号处理是数字图像处理的重要内容，是图像分割、特征提取和图像识别等图像处理技术的重要前提Kirsch边缘检测算子、Robinson边缘检测算子、Laplace边缘检测算子等。这类算子的共同特点是在空间域上对被考察点的临域进行一定的加权运算，计算的结果作为边缘强度，这类算法具有算法简单，运算速度快等特点，但它们在增强边缘的同时也同样放大了噪声，从而影响了