Entropy-Based Multiscale Image Segmentation with Edge Refinement

Chi Kin Leung, F. K. Lam, J. T.P. To

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

An image segmentation algorithm that utilizes the concept of entropy is described. An index called Gray-scale Image Entropy (GIE) is used to measure the amount of information contained in a gray-scale image with reference to the underlying true scene. A prototype segmented image is produced and its quality is evaluated in terms of the GIE value the larger the GIE value the better would be the prototype segmented image. A multiscale entropy-based image segmentation algorithm is proposed to produce the prototype segmented images in successively refined spatial resolution until the best segmented image (in an information-theoretic sense) is found. The algorithm starts with detecting the best segmented image in a coarse spatial scale. The scale is then made finer and the object boundary pixels in that finer scale are detected and their classification status updated to produce a more refined segmented image with larger GIE value. The spatial scale is refined successively in a recursive manner until the best segmented image is obtained in the pixel scale. Simulation results presented in this paper demonstrate the feasibility of the proposed algorithm.
Original languageEnglish
Title of host publicationProceedings of the First International Conference on Information Technology and Applications (ICITA 2002)
Pages143-148
Number of pages6
Publication statusPublished - 1 Dec 2002
EventProceedings of the First International Conference on Information Technology and Applications (ICITA 2002) - Bathurst, Australia
Duration: 25 Nov 200228 Nov 2002

Conference

ConferenceProceedings of the First International Conference on Information Technology and Applications (ICITA 2002)
Country/TerritoryAustralia
CityBathurst
Period25/11/0228/11/02

Keywords

  • Entropy
  • Image Segmentation
  • Information
  • Multiscale
  • Thresholding

ASJC Scopus subject areas

  • Computer Science(all)

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