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Proceedings Paper

Multilevel hit-miss transform for object detection
Author(s): David P. Casasent; Roland H. Schaefer
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Paper Abstract

The rank-order hit-miss transform (HMT) filter is a significant new advancement in pattern recognition. We detail a new version of our HMT algorithm used for detection, the filter parameters used, and detection (PD) and false alarm (PFA) results. In detection, these filters are required to locate all objects in a scene with clutter present. This must be achieved for objects in multiple different classes, with 3-D distortion and contrast differences present. Thus, they represent considerably new image processing filters.

Paper Details

Date Published: 10 October 1994
PDF: 8 pages
Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); doi: 10.1117/12.188881
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Roland H. Schaefer, Institut National d'Optiques (Canada)


Published in SPIE Proceedings Vol. 2353:
Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision
David P. Casasent, Editor(s)

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