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Manuel González-Hidalgo

Researcher at University of the Balearic Islands

Publications -  71
Citations -  640

Manuel González-Hidalgo is an academic researcher from University of the Balearic Islands. The author has contributed to research in topics: Fuzzy logic & Edge detection. The author has an hindex of 12, co-authored 69 publications receiving 453 citations.

Papers
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On the Choice of the Pair Conjunction–Implication Into the Fuzzy Morphological Edge Detector

TL;DR: The pairs nilpotent minimum t-norm and the Kleene-Dienes implication, and the idempotent uninorm obtained with the classical negation as a generator and its residual implication, are the best configurations in this approach, because they also obtain competitive results with respect to other approaches.
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Red Blood Cell Cluster Separation From Digital Images for Use in Sickle Cell Disease

TL;DR: This paper proposes a method for the analysis of the shape of erythrocytes in peripheral blood smear samples of sickle cell disease, which uses ellipse adjustments and a new algorithm for detecting notable points and applies a set of constraints that allow the elimination of significant image preprocessing steps proposed in previous studies.
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A survey on curvilinear object segmentation in multiple applications

TL;DR: This review presents the most relevant benchmarks related to curvilinear object segmentation as well as the best algorithms according to several performance measures and proposes a general definition of curvil inear structures that encompasses the distinct models considered in the literature.
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Review on computer vision techniques in emergency situations

TL;DR: In this article, the authors provide a broad overview of the progress of computer vision covering all sorts of emergencies, focusing on state-of-the-art systems that cover the same emergency as they are studying, obviating important research in other fields.
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Improving salt and pepper noise removal using a fuzzy mathematical morphology-based filter

TL;DR: In this paper, a novel filter, called the improved fuzzy mathematical morphology open-close filter (i-FMMOCS), is presented, which considerably improves the results obtained by the so-called fuzzy mathematical morphological filter, through the use of some fuzzy mathematical operators, especially designed to avoid theUse of the noisy pixels into the computations.