Multilevel hit-miss transform for object detection

David P. Casasent; Roland H. Schaefer

doi:10.1117/12.188881

10 October 1994 Multilevel hit-miss transform for object detection

David P. Casasent, Roland H. Schaefer

Proceedings Volume 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision; (1994) https://doi.org/10.1117/12.188881
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

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 (P_D) and false alarm (P_FA) 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.

Citation Download Citation

David P. Casasent and Roland H. Schaefer "Multilevel hit-miss transform for object detection", Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision, (10 October 1994); https://doi.org/10.1117/12.188881

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