Improving Fractal Codes Based Image Retrieval Using Histogram of Collage Errors

Ming Hong Pi*, Chong Sze Tong, Anup Basu

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

7 Citations (Scopus)

Abstract

Collage error is a quantitative measure of the similarity between range block and "best-matching" domain block. It is relatively robust compared with the fractal encoding parameters which can be quite sensitive to changes in the domain block pool. However, up to now, fractal-based image indexing techniques are developed based on the fractal encoding parameters while collage error is overlooked. In the paper, we propose three composite statistical indices by combining histogram of fractal parameters with the histogram of collage errors to improve fractal codes based indexing technique. Experimental results on a database of 416 texture images show that the proposed indices not only reduce computational complexities, but also enhance the retrieval rate, compared to existing fractal-based retrieval methods.

Original languageEnglish
Title of host publicationImage and Video Retrieval
Subtitle of host publicationSecond International Conference, CIVR 2003 Urbana-Champaign, IL, USA, July 24–25, 2003 Proceedings
EditorsErwin M. Bakker, Michael S. Lew, Thomas S. Huang, Nicu Sebe, Xiang Zhou
PublisherSpringer Berlin Heidelberg
Pages121-130
Number of pages10
Edition1st
ISBN (Electronic)9783540451136
ISBN (Print)9783540406341
DOIs
Publication statusPublished - 24 Jun 2003
Event2nd International Conference on Image and Video Retrieval CIVR 2003 - Urbana-Champaign, IL, United States
Duration: 24 Jul 200325 Jul 2003

Publication series

NameLecture Notes in Computer Science
Volume2728
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Image and Video Retrieval CIVR 2003
Country/TerritoryUnited States
CityUrbana-Champaign, IL
Period24/07/0325/07/03

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)

User-Defined Keywords

  • Composite Index
  • Texture Image
  • Query Image
  • Fractal Parameter
  • Retrieval Rate

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