Advanced and orthogonal MINACE filter sets: initial detection results

David P. Casasent; Voon-Yim Choo; Gregory P. House

doi:10.1117/12.169410

1 March 1994 Advanced and orthogonal MINACE filter sets: initial detection results

David P. Casasent, Voon-Yim Choo, Gregory P. House

Proceedings Volume 2237, Optical Pattern Recognition V; (1994) https://doi.org/10.1117/12.169410
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Advanced version of MINACE (minimum noise and correlation plane energy) filters are applied to detection. Detection involves locating all objects in multiple classes in an image independent of the object class, distortions and contrast differences, i.e. we do not attempt to recognize the object class. This is the first step in scene analysis. A number of false alarms are expected per scene and will be reduced in subsequent levels of the full processor. The advanced MINACE filter concepts we use involve: including a constant background in the training images, training on intermediate contrast ratio objects, use of a new background clutter model and use of orthogonal filter sets.

Citation Download Citation

David P. Casasent, Voon-Yim Choo, and Gregory P. House "Advanced and orthogonal MINACE filter sets: initial detection results", Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); https://doi.org/10.1117/12.169410

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