M
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
More filters
Journal ArticleDOI
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.
Journal ArticleDOI
Red Blood Cell Cluster Separation From Digital Images for Use in Sickle Cell Disease
Manuel González-Hidalgo,Fidel Guerrero-Peña,Silena Herold-Garcia,Antoni Jaume-i-Capó,Pedro Marrero-Fernández +4 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Review on computer vision techniques in emergency situations
Laura Lopez-Fuentes,Joost van de Weijer,Manuel González-Hidalgo,Harald Skinnemoen,Andrew D. Bagdanov +4 more
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.
Journal ArticleDOI
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.