Statistical multiscale image segmentation via Alpha-stable modeling

Tao Wan, CN Canagarajah, AM Achim

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

10 Citations (Scopus)
309 Downloads (Pure)

Abstract

This paper presents a new statistical image segmentation algorithm, in which the texture features are modeled by symmetric alpha-stable (SalphaS) distributions. These features are efficiently combined with the dominant color feature to perform automatic segmentation. First, the image is roughly segmented into textured and nontextured regions using the dual-tree complex wavelet transform (DT-CWT) with the sub-band coefficients modeled as SalphaS random variables. A mul-tiscale segmentation is then applied to the resulting regions, according to the local texture characteristics. Finally, a novel statistical region merging algorithm is introduced by measuring the Kullback-Leibler distance (KLD) between estimated SalphaS models for the neighboring segments. Experiments show that our algorithm achieves superior segmentation results in comparison with existing state-of-the-art image segmentation algorithms.
Translated title of the contributionStatistical multiscale image segmentation via alpha-stable modeling
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing (ICIP 2007), San Antonio, TX, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages357 - 360
Number of pages4
VolumeIV
ISBN (Print)9781424414376
DOIs
Publication statusPublished - Sep 2007
EventInternational Conference on Image Processing - San Antonio, TX, United States
Duration: 1 Sep 2007 → …

Conference

ConferenceInternational Conference on Image Processing
CountryUnited States
CitySan Antonio, TX
Period1/09/07 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: Tao Wan was supported by an Overseas Research Student Award

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Keywords

  • multiscale image segmentation
  • statistical modeling
  • wavelet transform
  • KLD

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