Multi-resolution image segmentation method based on local variance

Yan Tian, Yu Bo Xie, Wen Zhong Shi, Fu Yuan Peng, Jian Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)


An efficient image segmentation method for complexity image is presented, which is developed based on the evolution of local variance in multi-resolution images for different objects. The proposed method first introduces a multi-resolution model in which pixels between different resolutions are linked by computing parent-child distance. Then the evolution of local variance across resolution is studied. By counting the residue of local variance of image at different resolutions, the distinction between object and background is amplified. After a blurring procedure, the residue is segmented with Ostu threshold method. Finally, the segmentation result of original image is obtained through projection with parent-child link. The experimental results show the excellent performance of the new method.
Original languageChinese (Simplified)
Pages (from-to)1922-1926
Number of pages5
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Issue number12
Publication statusPublished - 1 Dec 2006


  • Image segmentation
  • Local variance
  • Multi-resolution
  • Parent-child link
  • Threshold

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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