Biomedical image texture analysis based on high-order fractals

Huinian Xiao, A. Chu, Kerrie S. Holton, Richard A. Robb

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

1 Scopus citations

Abstract

Since the fractal dimension alone is not sufficient to characterize natural texture, we explore higher order geometry to accurately identify texture in biomedical images. The calculation of the fractal dimension set is based on the texture description: known as the Pseudo Matrix of the Fractal (PMF). In our research, the variants of the PMF are tested, a set of the fractal parameters are defined, and different discriminant functions are investigated. A new approach to texture classification is described. Using vectors derived from the PMF, the inner products of these normalized vectors obtained from the training groups and the test image form the measures for classification. This method is easily implemented and produces reliable classification results. The new algorithm significantly simplifies the calculation of the fractal dimension set, and the classification of texture in medical images becomes more sensitive and specific. Preliminary results have demonstrated an improved accuracy in classification on one group of eight types of realistic texture data and one set of MRI brain data.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages649-659
Number of pages11
Editionpt 1
ISBN (Print)081940814X
StatePublished - Dec 1 1992
EventBiomedical Image Processing and Three-Dimensional Microscopy. Part 1 (of 2) - San Jose, CA, USA
Duration: Feb 10 1991Feb 13 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 1
Volume1660
ISSN (Print)0277-786X

Other

OtherBiomedical Image Processing and Three-Dimensional Microscopy. Part 1 (of 2)
CitySan Jose, CA, USA
Period2/10/912/13/91

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Xiao, H., Chu, A., Holton, K. S., & Robb, R. A. (1992). Biomedical image texture analysis based on high-order fractals. In Proceedings of SPIE - The International Society for Optical Engineering (pt 1 ed., pp. 649-659). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1660, No. pt 1). Publ by Int Soc for Optical Engineering.