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Proceedings Paper

Advanced and orthogonal MINACE filter sets: initial detection results
Author(s): David P. Casasent; Voon-Yim Choo; Gregory P. House
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Paper 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.

Paper Details

Date Published: 1 March 1994
PDF: 12 pages
Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169410
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Voon-Yim Choo, Carnegie Mellon Univ. (United States)
Gregory P. House, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 2237:
Optical Pattern Recognition V
David P. Casasent; Tien-Hsin Chao, Editor(s)

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