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Proceedings Paper

Software requirements and support for image-algebraic analysis, detection, and recognition of small targets
Author(s): Mark S. Schmalz; Gerhard X. Ritter; Robert H. Forsman; Chyuan-Huei Thomas Yang; Wen-Chen Hu; Ryan A. Porter; Gary McTaggart; James F. Hranicky; James F. Davis
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Paper Abstract

The detection of hazardous targets frequently requires a multispectral approach to image acquisition and analysis, which we have implemented in a software system called MATRE (multispectral automated target recognition and enhancement). MATRE provides capabilities of image enhancement, image database management, spectral signature extraction and visualization, statistical analysis of greyscale imagery, as well as 2D and 3D image processing operations. Our system is based upon a client-server architecture that is amenable to distributed implementation. In this paper, we discuss salient issues and requirements for multispectral recognition of hazardous targets, and show that our software fulfills or exceeds such requirements. MATRE's capabilities, as well as statistical and morphological analysis results, are exemplified with emphasis upon computational cost, ease of installation, and maintenance on various Unix platforms. Additionally, MATRE's image processing functions can be coded in vector-parallel form, for ease of implementation of SIMD-parallel processors. Our algorithms are expressed in terms of image algebra, a concise, rigorous notation that unifies linear and nonlinear mathematics in the image domain. An image algebra class library for the C + + language has been incorporated into the our system, which facilitates fast algorithm prototyping without the numerous drawbacks of descrete coding.

Paper Details

Date Published: 20 June 1995
PDF: 12 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211369
Show Author Affiliations
Mark S. Schmalz, Univ. of Florida (United States)
Gerhard X. Ritter, Univ. of Florida (United States)
Robert H. Forsman, Univ. of Florida (United States)
Chyuan-Huei Thomas Yang, Univ. of Florida (United States)
Wen-Chen Hu, Univ. of Florida (United States)
Ryan A. Porter, Univ. of Florida (United States)
Gary McTaggart, Univ. of Florida (United States)
James F. Hranicky, Univ. of Florida (United States)
James F. Davis, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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