摘要边界检测技术是数字图像处理技术中的基础，同时也是其中一个非常重要的技术，因为边界是需要提取目标和背景的边界线，通过这种方式将目标图像与背景进行区分识别。边界检测利用了图像和背景存在的各类差异来实现识别，差异包括了颜色变化、灰度差值以及图像的纹理特诊。检测图像特征出现显著差异的位置就是我们通常所说的边界检测。本次论文关于各类边界检测算子进行了简要的研究，并在Matlab平台上进行了简单的实现并使用比较。后又在了解了边界检测算子的基础上，拓展研究了人脸识别这一应用。主要讨论了对于人脸区域的检测与定位，面部特征的提取等方法，最后对于未来的发展进行了展望。42836
毕业论文关键词：图像边界特征 人脸识别 Sobel算子 特征定位
Abstract
Edge detection technique for processing digital images is important because the edge is extracted by the target and the background to the boundary line, extract the edge of the target and background can be distinguished. In the image, separated by the border regions of the internal characteristics or attributes are the same, but different characteristics or attributes within the region are the same, but different characteristics within the region or property is different, edge detection is the use of object and background images in some kind of difference to achieve, these differences include grayscale, color or texture features. Detection of edge detection is actually the location of the image characteristics to change.
This article on various types of boundary detection operators are briefly studied, and in the Matlab platform to carry out a simple implementation and use of comparison. On the basis of understanding the boundary detection operator, the application of face recognition is studied. Mainly discusses the detection and location of the face region, the extraction of facial features and other methods, and finally to the future development of the prospect.
Keywords: Edge Treatment Face Recognition Sobel operator Face location
目录
图像中边界特征检测算法的实现及其应用的研究 I
摘 要 I
Abstract I
目录 II
第一章 绪 论 1
1.1 研究背景及现状 1
1.3 本文研究的内容 2
1.4 本章小结 3
第二章 系统需求分析 4
2.1 系统功能需求 4
2.2 功能划分及描述 4
2.3 开发环境与可行性分析 5
2.4 本章小结 6
第三章 图像边界处理算法 7
3.1 边界检测算子 7
3.1.1 罗伯特(Roberts)算子 7
3.1.2 索贝尔(Sobel)算子 8
3.1.3 Prewitt算子 9
3.1.4 拉普拉斯(Laplacian)边缘算子 9
3.1.5 Canny算子 10
3.3 各种算法的Matlab实现 12
3.4本章小结 17
第四章 系统分析 图像中边界特征检测算法的实现及其应用的研究:http://www.751com.cn/jisuanji/lunwen_43419.html