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图像的边缘是图像最基本也是最重要的特征之一。边缘检测一直是计算机视觉和图像处理领域的经典研究课题之一。图像分析和理解的第一步常常是边缘检测。如何确定人脸特征并对这些特征进行有效的提取是非常关键而且复杂的。人脸边缘和轮廓是人脸非常重的特征。
本文研究了在人脸边缘检测过程中的各种问题及方法,希望能够找到一种良好的方法来完成边缘检测过程。全文共分为以下几个部分:
1,介绍现目前国内外在人脸边缘检测中的研究方向和方法,以及在边缘检测中存在的问题;
2,研究在图像预处理阶段中的方法和问题,这是研究边缘检测的基础;
3,研究在图像边缘提取阶段中的方法和问题:研究的重点是对现有的边缘提取方法进行比较总结;
本文的重点就是研究了边缘检测的原理和各种算法,通过试验验证各种检测方法在人脸图像中对边缘的检测效果,讨论在选用不同算子检测的边缘,以及影响检测效果的因素。
关键词: 边缘检测;人脸图像;小波
Abstract
Edge is one of the most fundamental and significant features.Edge detection is always one of the most classical studying projects of computer vision and image processing field.The first step of image analysis and understanding is edge detection.How to define and extract the feature of human face is a key and complicated problem the edge and contour of human face is one of important feature.
Problems and methods in feature of human face edge detection will be studied in this paper, Hopes to find a good way to complete the edge detection process, the full text is divided into the following sections:
1, Introduced in the human face edge detection is the current domestic and international features from the research direction and methodology, as well as edge detection problems;
2, Research in image processing methods and phase problems,this is the basic of edge detection;
3, Research on images of the methods and problems in edge detection stage: study focused on the brink of withdrawal to the existing methods of comparison summary;
This paper mainly studies the theory of edge detection and different kinds of arithmetical methods.The experiment result are used to confirm the different methods which are employed to test the edge detection results of the human face image.It discusses the consequence of detection when the threshold is varying and the possible factors,which makes the different results.Finally,it studies the application of the edge detection in human face detection and recognition.
Key words:Edge detection; Human face; Wavelet