Tissue image interpolation based on fractional brownian motion

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

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
頁面4857-4860
頁數4
DOIs
出版狀態Published - 2006
事件28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
持續時間: 2006 八月 302006 九月 3

出版系列

名字Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN(列印)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
國家/地區United States
城市New York, NY
期間06-08-3006-09-03

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

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