12 March 1999 MathWeb: a concurrent image analysis tool suite for multispectral data fusion
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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.
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Tiranee Achalakul, Tiranee Achalakul, Peter D. Haaland, Peter D. Haaland, Stephen Taylor, 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); doi: 10.1117/12.341358; https://doi.org/10.1117/12.341358

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