Automated region segmentation using attraction-based grouping in spatial-color-texture space

Yong Rui, Alfred C. She, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently much attention has been paid to Image Content-Based Retrieval Systems (CBRS). One important goal in CBRS is to extract local low level image features such as color, texture and shape, to allow queries based on these features. A large CBRS containing tens of thousands of images requires an automatic feature-extraction method since human aided segmentation is impractical. We address this problem in a particular application setting by using an attraction based grouping method in Spatial-Color-Texture space. The attraction concept makes this approach similar to human aided segmentation. Experimental results show that the method is reasonably better than existing methods, and has the potential to be used in other CBRS-related applications.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Editors Anon
PublisherIEEE
Pages53-56
Number of pages4
Volume1
StatePublished - 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: Sep 16 1996Sep 19 1996

Other

OtherProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period9/16/969/19/96

ASJC Scopus subject areas

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

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  • Cite this

    Rui, Y., She, A. C., & Huang, T. S. (1996). Automated region segmentation using attraction-based grouping in spatial-color-texture space. In Anon (Ed.), IEEE International Conference on Image Processing (Vol. 1, pp. 53-56). IEEE.