Optical Gabor, wavelet, and morphological filters for image processing

David P. Casasent; John Scott Smokelin; Anqi Ye

doi:10.1117/12.140911

12 January 1993 Optical Gabor, wavelet, and morphological filters for image processing

David P. Casasent, John Scott Smokelin, Anqi Ye

Proceedings Volume 1772, Optical Information Processing Systems and Architectures IV; (1993) https://doi.org/10.1117/12.140911
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

We consider wavelet and Gabor transforms for detection of candidate regions of interest in a 2-D scene. We generate wavelet and Gabor coefficients for each spatial region of a scene using new linear combination optical filters to reduce the output dimensionality and to simplify post-processing. We use two sets of wavelet coefficients as indicators of edge activity to suppress background clutter. The Gabor coefficients are found to be excellent for object detection and robust to object distortions and contrast differences. We provide insight into the selection of the Gabor parameters.

Citation Download Citation

David P. Casasent, John Scott Smokelin, and Anqi Ye "Optical Gabor, wavelet, and morphological filters for image processing", Proc. SPIE 1772, Optical Information Processing Systems and Architectures IV, (12 January 1993); https://doi.org/10.1117/12.140911

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