Tissue image interpolation based on fractional brownian motion

Ching N. Li, Wen Hung Ting, Kuo Shang Cheng

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

Abstract

Fractal Brownian Motion (fBm) has been proven in a viewpoint of irregularity characterization for quantifying the structure of the tissue Images. Breast masses were selected as the target sample because breast-associated diseases have become prevalent in Taiwan. In this paper, the ability of fractal dimension in fractal interpolation schemes is investigated and compared with the traditional interpolation schemes including bilinear and bicubic methods. Using three image quality indices the difference between original and interpolated images may have evaluated. Interpolated images by fractal interpolation can maintain fractal characteristics better than traditional interpolation methods. Fractal features can be preserved in the interpolated images. Thus, interpolated tissue images based on fBm model are superior to conventional methods.

Original languageEnglish
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages4857-4860
Number of pages4
DOIs
Publication statusPublished - 2006 Dec 1
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: 2006 Aug 302006 Sep 3

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
CountryUnited States
CityNew York, NY
Period06-08-3006-09-03

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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  • Cite this

    Li, C. N., Ting, W. H., & Cheng, K. S. (2006). Tissue image interpolation based on fractional brownian motion. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 4857-4860). [4029197] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.259661