Combining wavelet features for image recognition

Joseph P. Garcia; Brian A. Telfer; Hanseok Ko; Harold H. Szu

doi:10.1117/12.170094

15 March 1994 Composite wavelet features for image recognition

Joseph P. Garcia, Brian A. Telfer, Hanseok Ko, Harold H. Szu

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170094
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

A detection technique based on a synergistic composition of wavelet feature detectors is demonstrated on sonar imaging data. The wavelets are used to preprocess the imagery for enhancing highlights and shadows. A neural network is trained on the preprocessed imagery to weight the output of two filters for underwater object detection. This approach is demonstrated on multiple scales. Results indicate this composite approach is highly effective.

Citation Download Citation

Joseph P. Garcia, Brian A. Telfer, Hanseok Ko, and Harold H. Szu "Composite wavelet features for image recognition", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170094

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