MathWeb: a concurrent image analysis tool suite for multispectral data fusion

Tiranee Achalakul; Peter D. Haaland; Stephen Taylor

doi:10.1117/12.341358

12 March 1999 MathWeb: a concurrent image analysis tool suite for multispectral data fusion

Tiranee Achalakul, Peter D. Haaland, Stephen Taylor

Proceedings Volume 3719, Sensor Fusion: Architectures, Algorithms, and Applications III; (1999) https://doi.org/10.1117/12.341358
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Tiranee Achalakul, Peter D. Haaland, and Stephen Taylor "MathWeb: a concurrent image analysis tool suite for multispectral data fusion", Proc. SPIE 3719, Sensor Fusion: Architectures, Algorithms, and Applications III, (12 March 1999); https://doi.org/10.1117/12.341358

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