Detection filters using wavelets, Gabor, morphology, and fusion

Anqi Ye; David P. Casasent

doi:10.1117/12.205781

28 March 1995 Detection filters using wavelets, Gabor, morphology, and fusion

Anqi Ye, David P. Casasent

Proceedings Volume 2490, Optical Pattern Recognition VI; (1995) https://doi.org/10.1117/12.205781
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

We consider detection (location of all likely regions of interest (ROIs) in a scene where objects may be) for multiple classes of objects in 3D distortions with contrast differences and severe clutter present. Two different algorithms using Gabor basis function (GBF) filters and morphological wavelet transform (MWT) filtering are considered. New final algorithm parameters are noted. We detail: the morphological portion of the MWT algorithm, our new fusion method to combine the morphological and Gabor wavelet clutter map portions of the MWT algorithm, and the MWT threshold selection technique. Initial results using a new peak sorting scoring method and new fusion scores for multiple algorithms to reduce false alarms are noted.

Citation Download Citation

Anqi Ye and David P. Casasent "Detection filters using wavelets, Gabor, morphology, and fusion", Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); https://doi.org/10.1117/12.205781

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