人脸定位系中图像预处理算法的研究与设计毕业论文.doc

摘 要 人脸定位技术在当今社会生活中扮演着相当重要的角色，如视频监控、人机交互、人脸识别、人脸数据库分类管理等业务，均用到了人脸定位这个关键技术。人脸的定位和识别技术是模式识别、计算机视觉和图像理解系统的研究热点之一，它综合了图像理解、计算机视觉、数据库和人工智能等多方面多学科的知识，应用前景广阔，受到了越来越广泛的重视，并得到了迅速的发展，并取得了很多有价值的研究成果。 本文首先简要介绍了人脸定位的概念、应用和研究现状，然后对常用的几种色彩空间进行分析比较，选取肤色聚类性较好的YUV色彩空间建立肤色模型，识别肤色区域。由于噪声无处不在，文中对肤色建模后的图像采用先膨胀处理后腐蚀处理来消除噪声块。在确定人脸候选区域阶段，本文主要利用改进的简单种子填充算法确定候选区域。本文阐述了人脸定位系统中图像预处理算法的研究与设计。 本文通过VC++编Abstract Human face location plays an important roll in applications such as video surveillance, human computer interface, face recognition, and face image database management. Face location and recognition technology is one of the hottest spots in pattern recognition, computer vision and image understanding system; it has integrated multi-disciplinary knowledge such as image understanding, computer vision, databases and artificial intelligence, and with the rapid development it get more and more attention and has made many valuable research results. In this dissertation，we simply introduce the concept，application and the present research condition of face location firstly，and then analyze several cmonly color space，selecting the color of a good clusteringcolor space to establish color model，using this modelecognition color area .Because the noise is everywhere, in this paper the binary image of the first expansion after treatment corrosion treatment to eliminate noise pieces. In determining the face candidate area stage, this paper mainly of improved simple seed filling algorithm to determine a candidate area. This paper expounds the face positioning system of the image preprocessing algorithm research and design. This article through the VC + + realization, system have been must improve accuracy. Key words:Image preprocessing；Face Location; Color Space; Seed Filling; Dilation; Erosion 绪 论 0.1 选题背景及意义 在人类的视觉视觉中，人脸具有极其重要的地位，因为人脸不见能够反映人的年龄、身份等人的外部因素，同时还能反映认定额个性心理等内在特质。如同指纹一样，人脸也具有唯一性，可以用来鉴别一个人的身份。这样，利用人脸作为身份验证的途径也就成为人类视觉系统的一个重要功能，成为人与人之间交往联系最主要的依据之 一。 人脸图像身份验证研究如此重要，首先在于，人脸图像身份验证技术具有广泛的应