Image segmentation in wavelet domain using fuzzy logic

Heydy Castillejos, Volodymyr Ponomaryov, Ricardo Peralta

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the most important tasks of image processing is the image segmentation where it should be extracted the significant features for the following classification or detection stages. Numerous methods have been developed in the segmentation, but by now, this problem demands finding efficient and fast algorithms. In this paper, we propose a novel framework that is based on cluster segmentation in the wavelet transform space, where decomposition procedure permits to analyze texture features in high frequency bands. Different simulation results, which have been revised in objective and subjective matter, confirm the efficiency of the novel segmentation framework for images of different nature, in particular dermoscopic ones.

Original languageEnglish
Title of host publicationCCE 2011 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book
DOIs
StatePublished - 2011
Event2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2011 - Merida, Yucatan, Mexico
Duration: 26 Oct 201128 Oct 2011

Publication series

NameCCE 2011 - 2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, Program and Abstract Book

Conference

Conference2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2011
Country/TerritoryMexico
CityMerida, Yucatan
Period26/10/1128/10/11

Keywords

  • Segmentation
  • fuzzy logic
  • wavelets

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