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  • 标题:Canny Edge Detection Based On Iterative Algorithm
  • 本地全文:下载
  • 作者:Xumin Liu ; Xiaojun Wang ; Zilong Duan
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2014
  • 卷号:8
  • 期号:5
  • 页码:41-50
  • DOI:10.14257/ijsia.2014.8.5.05
  • 出版社:SERSC
  • 摘要:The images of different areas require different test results on the edge. In this paper, the images of red blood cells in medical field need to be detected theirs cell size, roundness, number and other features. For the test requirements, an image edge detection algorithm is proposed based on improved Canny operator. This algorithm calculates the optimal high and low dual-threshold by using iteration arithmetic, and uses mathematical morphology to thin the detected images. The results proved that this algorithm can effectively reduce interference and noise edge and make more prominent detection characteristics, which is good ready for subsequent processing of the image.
  • 关键词:Edge Detection; Red Blood Cells; Canny Operator; Mathematical ; Morphological Method
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