B-spline over-complete wavelet based fractal signature analysis for texture image retrieval

Qing Wang, David D. Feng, Zheru Chi

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

2 Citations (Scopus)

Abstract

In the paper, we proposed a novel over-complete B-Spline wavelet based statistical features and fractal signatures for texture image analysis and retrieval. The discrete wavelet frame took the first order derivative of smoothing function into account, which is equivalent to Canny edge detection, with the specific case using Gaussian function as smoothing function. Meanwhile, the feature set based on the fractal surface area function in a Besov space is very accurate and robust for gray scale texture classification. Experimental results have shown that the proposed method is reasonable to describe the characteristics of the texture in temporal-frequent and fractal domain and it can reach the highest retrieval rate comparing with Gabor Filter based feature descriptor and B-Spline over-complete wavelet transformation based feature representation only.
Original languageEnglish
Title of host publication2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages462-466
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2004
Event2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong
Duration: 20 Oct 200422 Oct 2004

Conference

Conference2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Country/TerritoryHong Kong
CityHong Kong, China
Period20/10/0422/10/04

Keywords

  • B-Spline over-complete wavelet
  • Content based image retrieval
  • Gabor filter
  • Texture analysis
  • Wavelet-based fractal signature

ASJC Scopus subject areas

  • Engineering(all)

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