Wavelet and Gabor transforms for detection

David P. Casasent; John Scott Smokelin; Anqi Ye

doi:10.1117/12.59913

1 September 1992 Wavelet and Gabor transforms for detection

David P. Casasent, John Scott Smokelin, Anqi Ye

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Optical Engineering, Vol. 31, Issue 9, (September 1992). https://doi.org/10.1117/12.59913

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 postprocessing. 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.

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David P. Casasent, John Scott Smokelin, and Anqi Ye "Wavelet and Gabor transforms for detection," Optical Engineering 31(9), (1 September 1992). https://doi.org/10.1117/12.59913

Published: 1 September 1992

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