concurrent computing, image fusion, principal component transformation, spectral signature
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.
Achalakul, Tiranee; Haaland, Peter D.; and Taylor, Stephen, "MathWeb: A Concurrent Image Analysis Tool Suite for Multi-spectral Data Fusion" (2012). Electrical Engineering and Computer Science. Paper 112.