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Optical Engineering

Image Processing And Perimetric Sampling For Pattern Recognition
Author(s): C. Katsinis; A. D. Poularikas
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Paper Abstract

This paper examines the classification potential of three techniques based on spiral sampling of gray-scale, noisy images. Image pixels are rearranged into a one-dimensional sequence by selecting samples in a spiral manner starting from the edge of the image and proceeding toward the center. The properties of this sample sequence are examined by Fourier transform and correlation techniques, using images from 26 groups with varying contrast, orientation, and size. The classification ability of features extracted from spiral sequences and their accuracy are investigated.

Paper Details

Date Published: 1 July 1987
PDF: 5 pages
Opt. Eng. 26(7) 267650 doi: 10.1117/12.7974130
Published in: Optical Engineering Volume 26, Issue 7
Show Author Affiliations
C. Katsinis, University of Alabama in Huntsville (United States)
A. D. Poularikas, University of Alabama in Huntsville (United States)


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