A Unified Algebraic Framework for Fuzzy Image Compression and Mathematical Morphology
Ciro Russo
TL;DR
This paper presents a unified algebraic framework that integrates fuzzy image compression and mathematical morphology, demonstrating how diverse image processing techniques can be combined under a common mathematical structure.
Contribution
It introduces a novel algebraic approach that unifies different image processing techniques, enabling more cohesive and versatile image analysis methods.
Findings
Unified framework effectively combines fuzzy compression and morphology.
Enhanced image processing capabilities through algebraic integration.
Potential for improved image analysis tools.
Abstract
In this paper we show how certain techniques of image processing, having different scopes, can be joined together under a common "algebraic roof".
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Taxonomy
TopicsRough Sets and Fuzzy Logic · Image Retrieval and Classification Techniques · Mathematical Dynamics and Fractals