Optical morphological processors: gray scale with binary structuring elements, detection, and clutter reduction

Roland H. Schaefer; David P. Casasent; Anqi Ye

doi:10.1117/12.131551

1 November 1992 Optical morphological processors: gray scale with binary structuring elements, detection, and clutter reduction

Roland H. Schaefer, David P. Casasent, Anqi Ye

Author Affiliations +

Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131551
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

We consider morphological processing for clutter reduction and object detection. For detection, we compare a binary and gray-scale Hit-Miss Transform and find that the binary operator is preferable. For clutter reduction, we find gray-scale morphology to be preferable. We present a new gray-scale clutter reduction morphological algorithm for low clutter cases and a new algorithm for high clutter cases. In all morphological processing, we find binary structuring elements to be adequate; this is very attractive for our gray-scale morphology decomposition algorithm and its optical implementation.

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Roland H. Schaefer, David P. Casasent, and Anqi Ye "Optical morphological processors: gray scale with binary structuring elements, detection, and clutter reduction", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131551

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