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  • 标题:An Improved Canny Edge Detection Algorithm
  • 本地全文:下载
  • 作者:Yu Chen ; Caixia Deng ; Xiaxia Chen
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:10
  • 页码:359-370
  • DOI:10.14257/ijhit.2015.8.10.33
  • 出版社:SERSC
  • 摘要:Aimed at the defects of the traditional Canny operator, this paper puts forward an improved algorithm in edge detection. First, this paper gives a new method on self- adaptive image block based on threshold value. Next, by proposing a new hybrid filter- bank of self-adaptive median and morphology, we adopt this hybrid filter-bank to smooth the noise image. Then, we add the information of gradient in two bevel directions, so that the information of gradient is more complete. Last, by using the threshold value to process the image of gradient which is after non-maxima suppression, we obtain the image edge. For the noise image, this improved algorithm not only can filter out noise well, but also the image edge is continuous, smooth, clear. The experimental results show that the improved algorithm has a good effect in edge detection, strong capability of noise immunity. The objective evaluation and visual effect are good, too.
  • 关键词:edge detection; Canny operator; threshold; image block
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