12 March 1999 MathWeb: a concurrent image analysis tool suite for multispectral data fusion
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
8 PAGES


SHARE
Back to Top