Natural scene feature extraction using singular value decomposition

David M. Cannon; Steven C. Gustafson; James D. Leonard Jr.

doi:10.1117/12.179298

24 June 1994 Natural scene feature extraction using singular value decomposition

David M. Cannon, Steven C. Gustafson, James D. Leonard Jr.

Proceedings Volume 2239, Visual Information Processing III; (1994) https://doi.org/10.1117/12.179298
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

David M. Cannon, Steven C. Gustafson, and James D. Leonard Jr. "Natural scene feature extraction using singular value decomposition", Proc. SPIE 2239, Visual Information Processing III, (24 June 1994); https://doi.org/10.1117/12.179298

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