Proximal groupoid patterns In digital images
Computer Vision and Pattern Recognition
2016-03-08 v1
Abstract
The focus of this article is on the detection and classification of patterns based on groupoids. The approach hinges on descriptive proximity of points in a set based on the neighborliness property. This approach lends support to image analysis and understanding and in studying nearness of image segments. A practical application of the approach is in terms of the analysis of natural images for pattern identification and classification.
Cite
@article{arxiv.1603.01842,
title = {Proximal groupoid patterns In digital images},
author = {Enoch A-iyeh and James F. Peters},
journal= {arXiv preprint arXiv:1603.01842},
year = {2016}
}
Comments
9 pages, 6 figures