Optical image segmentation using wavelet correlation

Steven D. Pinski; Steven K. Rogers; Dennis W. Ruck; Byron M. Welsh; Matthew Kabrisky; Gregory T. Warhola; Dennis W. Quinn; Mark E. Oxley

doi:10.1117/12.135107

1 March 1992 Optical image segmentation using wavelet correlation

Steven D. Pinski, Steven K. Rogers, Dennis W. Ruck, Byron M. Welsh, Matthew Kabrisky, Gregory T. Warhola, Dennis W. Quinn, Mark E. Oxley

Author Affiliations +

Proceedings Volume 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods; (1992) https://doi.org/10.1117/12.135107
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

This research introduces an optical method of segmenting potential targets using wavelet analysis. An optical Harr wavelet is created using a magneto-optic spatial light modulator (MOSLM). Two methods of controlling wavelet dilation are explored: (1) an aperture positioned in front of a binary modulated MOSLM; (2) spatial filtering of a ternary modulated MOSLM. Segmentation is performed through Vander Lugt correlation of a binarized image with the optical wavelet. Frequency-plane masks for the correlation process are generated using thermal holography.

Citation Download Citation

Steven D. Pinski, Steven K. Rogers, Dennis W. Ruck, Byron M. Welsh, Matthew Kabrisky, Gregory T. Warhola, Dennis W. Quinn, and Mark E. Oxley "Optical image segmentation using wavelet correlation", Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); https://doi.org/10.1117/12.135107

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