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文章基本信息

  • 标题:Image Segmentation, Available Techniques, Developments and Open Issues
  • 本地全文:下载
  • 作者:Tranos Zuva ; Oludayo O. Olugbara ; Sunday O. Ojo
  • 期刊名称:Canadian Journal on Image Processing and Computer Vision
  • 印刷版ISSN:1923-1717
  • 出版年度:2011
  • 卷号:2
  • 期号:3
  • 页码:20-29
  • 出版社:AM Publishers Corporation Canada
  • 摘要:In areas such as computer vision and image processing, image segmentation has been and still is a relevant research area due to its wide spread usage and application. Its accuracy but very elusive is very crucial in areas as medical, remote sensing and image retrieval where it may contribute to save, sustain and protect human life. This paper provides a survey of achievements, problems being encountered, and the open issues in the research area of image segmentation and usage of the techniques in different areas. In this survey we also suggested what must be done in order for researchers to test their techniques’ performance and to compare them among other segmentation techniques. We considered the techniques under the following three groups: Threshold-based, Edge-based and Region-based.
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