期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：8
出版社：S&S Publications
摘要：Edge detection refers to the process of identifying and locating sharp discontinuities in an image. Hence,edge detection is a vital step in image analysis and it is the key of solving many complex problems. Edge detection is afundamental tool used in most image processing applications to obtain information from the frames as a precursor stepto feature extraction and object segmentation. The edge detection has been used by object recognition, target tracking,segmentation, data compression, and also helpful for matching, such as image reconstruction and so on. Edge detectionmethods transform original images into edge images benefits from the changes of grey tones in the image. In thisresearch paper, two edge detection algorithms namely Canny edge detection and Sobel edge detection algorithm areused to extract edges from facial images which is used to detect face. Performance factors are analyzed namelyaccuracy and speed are used to find out which algorithm works better. . From the experimental results, it is observedthat the Canny edge detection algorithm works better than Sobel edge detection algorithms.
关键词：Image mining; Face detection; Edge detection; Canny; Sobel
