Pattern Recognition With A Spiral Sampling Technique

Constantine Katsinis; Alexander Poularikas

doi:10.1117/12.976487

Translator Disclaimer

13 October 1987 Pattern Recognition With A Spiral Sampling Technique

Constantine Katsinis, Alexander Poularikas

Author Affiliations +

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976487
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

This paper examines the pattern recognition potential of spiral sampling applied on 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 analysis, using images from a number of groups, with varying contrast, orientation and size. The classification ability of features extracted from spiral sequences and their accuracy are investigated.

Citation Download Citation

Constantine Katsinis and Alexander Poularikas "Pattern Recognition With A Spiral Sampling Technique", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976487

ACCESS THE FULL ARTICLE