Proximal groupoid patterns In digital images
This work addresses pattern recognition in image analysis, but appears incremental as it builds on existing proximity concepts.
The paper tackled pattern detection and classification in digital images using groupoids and descriptive proximity based on neighborliness, resulting in a method applicable to natural image analysis for pattern identification and classification.
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.