Extraction of transition region and image segmentation based on local fuzzy variance

Yan Tian, Ji Jun Liu, Yu Bo Xie, Wen Zhong Shi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

To obtain a favorable segmented result of an image, a transition region method, based on the difference of local fuzzy variance between transition region and background, was proposed and used for image segmentation. First, the method to construct fuzzy variance based on fuzzy set was extended to the case of two dimensional image; second, a transition region was obtained by the local fuzzy variance; and at last the final segmented result was acquired by a multi-threshold selecting method. Experimental results show that the proposed method is robust and it can provide satisfactory segmented result.
Original languageChinese (Simplified)
Pages (from-to)386-389
Number of pages4
JournalHongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves
Volume26
Issue number5
Publication statusPublished - 1 Oct 2007

Keywords

  • Image segmentation
  • Local fuzzy variance
  • Threshold
  • Transition region

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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