Fractional discrimination for texture image segmentation

Jia You, S. Hungnahally, A. Sattar

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

13 Citations (Scopus)


Texture image segmentation plays an important role in texture analysis. This paper presents an approach to image segmentation by texture classification based on fractional discrimination functions. The idea behind this method is to enhance the texture edge points by means of image decomposition and contextual filtering in terms of the proposed fractional function. In addition, such function is described in a unified form with three-parameters. The parameters determine the global scale in conjunction with local scales for feature identification. Our experimental results show that texture features can be effectively extracted on the basis of the selective fractional discrimination function.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE Comp Soc
Number of pages4
Publication statusPublished - 1 Dec 1997
Externally publishedYes
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, United States
Duration: 26 Oct 199729 Oct 1997


ConferenceProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
Country/TerritoryUnited States
CitySanta Barbara, CA

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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