文章基本信息

标题：Novel Method for Edge Detection for Gray Scale Images using VC++ Environment
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作者：Harsimran Singh ; Tajinder kaur
期刊名称：International Journal of Advanced Computer Research
印刷版ISSN：2249-7277
电子版ISSN：2277-7970
出版年度：2013
卷号：3
期号：13
页码：193-197
出版社：Association of Computer Communication Education for National Triumph (ACCENT)
摘要：Edge detection is the most common approach for detecting discontinuities in gray scale images. By using edge detection important features can be extracted from an image in the form of edges. The number of researches has found so many techniques to detect edges. It is very important to locate the edges which are true as every operator is sensitive to certain type of edges. It is important to choose an edge detector that is best suited for the application. Out of these techniques canny operator is the best method to detect true edges. In this paper all the techniques are reviewed and a novel technique is proposed to detect true edges by using the concept of Adaptive thresholding. Each pixel value of gradient magnitude is compared with adaptive threshold value and edges are detected. We also compared canny operator with the proposed algorithm in terms of PSNR and MSE.
关键词：Thresholding; Mask; Sobel; Canny; Suppression; kernel.