1 July 1987 Image Processing And Perimetric Sampling For Pattern Recognition
Author Affiliations +
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.
C. Katsinis, A. D. Poularikas, "Image Processing And Perimetric Sampling For Pattern Recognition," Optical Engineering 26(7), 267650 (1 July 1987). https://doi.org/10.1117/12.7974130 . Submission:


Webcam classification using simple features
Proceedings of SPIE (March 12 2015)
Comparison study of geometric and orthogonal moments
Proceedings of SPIE (October 06 1998)
Pattern Recognition With A Spiral Sampling Technique
Proceedings of SPIE (October 13 1987)
High-resolution texture analysis for cytology
Proceedings of SPIE (June 01 1991)
Authenticity detection in image classification
Proceedings of SPIE (September 16 1992)

Back to Top