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  • 标题:Dynamic Resolving of Edge Detection Techniques for an Image
  • 本地全文:下载
  • 作者:NITTY SARAH ALEX ; AMRITA S MENON ; ASHWINI A
  • 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:2016
  • 卷号:4
  • 期号:3
  • 页码:4019
  • DOI:10.15680/IJIRCCE.2016.0403079
  • 出版社:S&S Publications
  • 摘要:Edge detection is an image processing technique fo r finding the boundaries and edges of objects within images. The main purpose of edge detection is to simplify the image data in order to minimize the amount of data to be processed and can be used to enhance the image by filtering the noise. The image of any format and dimension is given as input, based on the noise level of input image the edge detection algorithms are dynamically chosen among Canny algorithm, Sobel algorithm and LoG algorithm. Thus, we provide a robust solution that is adaptable to the v arying noise levels. The output is an image with the edges detected from the input image. In this paper, an overview of some of the existing methods and the problems faced are mentioned
  • 关键词:Edge detection; Canny algorithm; Sobel algorithm; LoG algorithm
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