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Proceedings Paper

Natural scene feature extraction using singular value decomposition
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Paper Abstract

This study developed texture extraction techniques for classifying natural background scenes using singular values features. Singular values (obtained using singular value decomposition) were used to produce a reduced one-dimensional feature space of texture attributes of natural scene regions. Scenes with tree, grass, and water regions were taken from FLIR imagery. Classification error was determined using a Bayes error estimate and Bhattacharyya distance was used to quantify separation of features between regions. Although there were variations within regional texture samples, good classification results were obtained using the singular value features.

Paper Details

Date Published: 24 June 1994
PDF: 12 pages
Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); doi: 10.1117/12.179298
Show Author Affiliations
David M. Cannon, Univ. of Dayton (United States)
Steven C. Gustafson, Univ. of Dayton (United States)
James D. Leonard, Air Force Wright Lab. (United States)


Published in SPIE Proceedings Vol. 2239:
Visual Information Processing III
Friedrich O. Huck; Richard D. Juday, Editor(s)

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