期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2015
卷号：4
期号：Special 3
出版社：IJECSCSE
摘要：The Canny edge detector is one of the most widely used edge detection algorithms due to its superior performance. It is computationally intensive as compared with other edge detection algorithms, and it also has a higher latency because it is based on frame - level statistics. In this paper, a mechanism to implement the Canny algorithm at the block level without any loss in edge detection p erformance compared with the original frame - level Canny algorith m is proposed. Direct apply the original Canny algorithm at the block - level leads to unnecessary edges in smooth regions and to loss of significant edges in high - detailed area since the origin al Canny compute the high and low thresholds based on the frame - level statistics. To solve this problem, a feature - based Canny edge detection algorithm that adaptively computes the edge detection thresholds based on the block type and the local distributio n of the gradients in the image block is presented. The consequential block - based algorithm has a significantly minimized latency and can be easily integrated with other block - based image codecs. It is susceptible of supporting fast edge detection of image s and videos with high resolutions, with full - HD since the latency is now a function of the block size instead of the frame size
