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Yiannis S. Boutalis
Researcher at Democritus University of Thrace
Publications - 143
Citations - 3331
Yiannis S. Boutalis is an academic researcher from Democritus University of Thrace. The author has contributed to research in topics: Fuzzy logic & Fuzzy control system. The author has an hindex of 29, co-authored 137 publications receiving 3050 citations. Previous affiliations of Yiannis S. Boutalis include University of Erlangen-Nuremberg.
Papers
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Book ChapterDOI
CEDD: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval
TL;DR: This paper deals with a new low level feature that is extracted from the images and can be used for indexing and retrieval, called "Color and Edge Directivity Descriptor" and incorporates color and texture information in a histogram.
Journal ArticleDOI
New maximum power point tracker for PV arrays using fuzzy controller in close cooperation with fuzzy cognitive networks
TL;DR: In this article, a maximum power point tracker using fuzzy set theory is presented to improve energy conversion efficiency of photovoltaic (PV) generation, by using a fuzzy cognitive network, which is in close cooperation with the presented fuzzy controller.
Proceedings ArticleDOI
FCTH: Fuzzy Color and Texture Histogram - A Low Level Feature for Accurate Image Retrieval
TL;DR: The extraction of a new low level feature that combines, in one histogram, color and texture information, named FCTH - Fuzzy Color and Texture Histogram - and results from the combination of 3 fuzzy systems, appropriate for accurately retrieving images even in distortion cases.
Journal ArticleDOI
A new class of Zernike moments for computer vision applications
TL;DR: By using Stirling's Approximation formula for the factorial and by applying some suitable mathematical properties, a novel, factorial-free direct method can be developed that is not equal to those computed by the original direct method, but they are a sufficiently accurate approximation of them.
Journal ArticleDOI
Adaptive Estimation of Fuzzy Cognitive Maps With Proven Stability and Parameter Convergence
TL;DR: This paper studies the existence of solutions of FCMs equipped with continuous differentiable sigmoid functions having contractive or, at least, non-expansive properties and proves that when the weight interconnections fulfill certain conditions, the concept values will converge to a unique solution, regardless of the exact values of the initial concept values perturbations.