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  • 标题:Reviewing Soft Computing Approaches for Edge Detection: Hybrid and Non-hybrid
  • 本地全文:下载
  • 作者:Kaushal, Manisha ; Akashdeep, Akashdeep
  • 期刊名称:Journal of Emerging Technologies in Web Intelligence
  • 印刷版ISSN:1798-0461
  • 出版年度:2013
  • 卷号:5
  • 期号:4
  • 页码:372-379
  • DOI:10.4304/jetwi.5.4.372-379
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Soft Computing is a multifaceted technique comprising of Fuzzy Logic, Neural Network, Genetic algorithms and other Evolutionary computation. These paradigms have found wide variety of applications in the field of image processing. One of the most vital applications of image segmentation is edge detection where edge refers to the boundary between two consistent regions and edge detection is the process of detecting and finding abrupt discontinuities in an image. This paper summarizes hybrid and non-hybrid approaches for edge detection. The objective of this paper is to survey the core issues for soft computing based approaches for edge detection.
  • 关键词:Soft computing;Neural Networks;Genetic Algorithm;Fuzzy logic;Hybrid
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