Local spectrum analysis of medical images

Atilla M. Baskurt; Francoise Peyrin; Zhu-Yue Min; Robert Goutte

doi:10.1117/12.45245

1 June 1991 Local spectrum analysis of medical images

Atilla M. Baskurt, Francoise Peyrin, Zhu-Yue Min, Robert Goutte

Proceedings Volume 1445, Medical Imaging V: Image Processing; (1991) https://doi.org/10.1117/12.45245
Event: Medical Imaging '91, 1991, San Jose, CA, United States

Abstract

A current goal in medical image processing is image segmentation and texture analysis. Although orthogonal transforms are interesting for image analysis they do not preserve spatial localization. In this paper we propose and compare some tools for local spectrum analysis. The first uses an evolutive windowed Fourier or Cosine Transform while the second is obtained via the 2D Wigner Distribution. Both of these transforms result in a collection of 2D spectra. In order to make the comparison easier we extract some parameters from each local spectrum. At last the first results obtained on a textural image and a medical image are presented.

Citation Download Citation

Atilla M. Baskurt, Francoise Peyrin, Zhu-Yue Min, and Robert Goutte "Local spectrum analysis of medical images", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); https://doi.org/10.1117/12.45245

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