MathWeb™:: A concurrent image analysis tool suite for multi-spectral data fusion

被引：8

作者：

Achalakul, T ^{[1
]}

Haaland, PD ^{[1
]}

Taylor, S ^{[1
]}

机构：

[1] Syracuse Univ, Dept Elect Engn & Comp Sci, Syracuse, NY 13244 USA

来源：

SENSOR FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS III | 1999年 / 3719卷

关键词：

concurrent computing; image fusion; principal component transform; spectral signature;

D O I：

10.1117/12.341358

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

引用

页码：351 / 358

页数：8

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