Document Type
Article
Date
Summer 7-5-2012
Embargo Period
1-1-2010
Keywords
concurrent computing, image fusion, principal component transformation, spectral signature
Language
English
Disciplines
Computer Sciences
Description/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.
Recommended Citation
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.
http://surface.syr.edu/eecs/112