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Proceedings Paper

Local spectrum analysis of medical images
Author(s): Atilla M. Baskurt; Francoise Peyrin; Zhu-Yue Min; Robert Goutte
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Paper 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.

Paper Details

Date Published: 1 June 1991
PDF: 11 pages
Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); doi: 10.1117/12.45245
Show Author Affiliations
Atilla M. Baskurt, Lab. de Traitement du Signal et Ultrasons (France)
Francoise Peyrin, Lab. de Traitement du Signal et Ultrasons (France)
Zhu-Yue Min, Lab. de Traitement du Signal et Ultrasons (France)
Robert Goutte, Lab. de Traitement du Signal et Ultrasons (France)

Published in SPIE Proceedings Vol. 1445:
Medical Imaging V: Image Processing
Murray H. Loew, Editor(s)

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