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Proceedings Paper

Lexicodes of foot patterns for mine detection
Author(s): Dan Ashlock; Jennifer L. Davidson
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Paper Abstract

This paper presents theory and experiment to perform a pattern recognition task. The task is to detect a mine in visual imagery, using a training algorithm. The marginal statistics for the data windows around potential targets are collected using a lexicode approach. Theoretical results supporting the lexicode's ability to perform such a task are presented. Preprocessing of the data is performed prior to the application of the lexicode. Discussion is given on the theoretical foundations and the preprocessing of the data, with future research activities outlined.

Paper Details

Date Published: 24 September 1998
PDF: 9 pages
Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); doi: 10.1117/12.323449
Show Author Affiliations
Dan Ashlock, Iowa State Univ. (United States)
Jennifer L. Davidson, Iowa State Univ. (United States)


Published in SPIE Proceedings Vol. 3457:
Mathematical Modeling and Estimation Techniques in Computer Vision
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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