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Proceedings Paper

MathWeb: a concurrent image analysis tool suite for multispectral data fusion
Author(s): Tiranee Achalakul; Peter D. Haaland; Stephen Taylor
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Paper Abstract

This paper describes a preliminary approach to the fusion of multi-spectral image data for the analysis of cervical cancer. The long-term goal of this research is to define spectral signatures and automatically detect cancer cell structures. The approach combines a multi-spectral microscope with an image analysis tool suite, MathWeb. The tool suite incorporates a concurrent Principal Component Transform (PCT) that is used to fuse the multi-spectral data. This paper describes the general approach and the concurrent PCT algorithm. The algorithm is evaluated from both the perspective of image quality and performance scalability.

Paper Details

Date Published: 12 March 1999
PDF: 8 pages
Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); doi: 10.1117/12.341358
Show Author Affiliations
Tiranee Achalakul, Syracuse Univ. (United States)
Peter D. Haaland, Mobium Enterprises, Inc. (United States)
Stephen Taylor, Syracuse Univ. (United States)

Published in SPIE Proceedings Vol. 3719:
Sensor Fusion: Architectures, Algorithms, and Applications III
Belur V. Dasarathy, Editor(s)

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