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.

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