Concept

Closing (morphology)

In mathematical morphology, the closing of a set () A by a structuring element B is the erosion of the dilation of that set, where and denote the dilation and erosion, respectively. In , closing is, together with opening, the basic workhorse of morphological noise removal. Opening removes small objects, while closing removes small holes. It is idempotent, that is, . It is increasing, that is, if , then . It is extensive, i.e., . It is translation invariant. Image Analysis and Mathematical Morphology by Jean Serra, (1982) Image Analysis and Mathematical Morphology, Volume 2: Theoretical Advances by Jean Serra, (1988) An Introduction to Morphological Image Processing by Edward R.

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https://en.wikipedia.org/wiki/Closing_(morphology)

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https://en.wikipedia.org/wiki/Closing_(morphology)

À propos de ce résultat

Cours associés (1)

MICRO-511: Image processing I

Séances de cours associées (2)

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Explore la dilatation, l'érosion, l'ouverture, la fermeture et la morphologie des niveaux de gris dans le traitement d'images.

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Couvre les opérations morphologiques de base à avancées pour les flux de travail d'analyse d'images.

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Characterising Internal Heat Transfer in Thermal Protection Systems

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Devis Tuia

I come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.

Dragan Damjanovic

Dragan Damjanovic received BSc diploma in Physics from the Faculty of Natural Sciences and Mathematics, University of Sarajevo, in 1980, and PhD in Ceramics Science from the Department of Materials Science and Engineering, College of Earth and Mineral Sciences, the Pennsylvania State University (PSU) in 1987. From 1988 to 1991 he was a research associate in the Materials Research Laboratory at the PSU. He joined the Ceramics Laboratory, Department of Materials Science and Engineering, Ecole polytechnique fédérale de Lausanne in 1991. He is currently a "professeur titulaire", heads the Group for Ferroelectrics and Functional Oxides at the Institute of Materials and teaches undergraduate and graduate courses on structure and electrical properties of materials. The research activities include fundamental and applied investigations of piezoelectric, ferroelectric and dielectric properties of a broad class of materials.

Yves Leterrier

Yves Leterrier joined EPFL in 1993 and is a faculty member of the Materials Institute. He is a senior scientist and lecturer in the Laboratory for Processing of Advanced Composites (LPAC, previously Laboratory of Composite and Polymer Technology, LTC). Activities 2000-2005: Foundation and Chair of the Korea-Switzerland joint symposia on materials and micro-technologies2004-2008: Board member of FLEXIDIS (the European flexible display consortium) 2004-2009: Group leader on lightweight materials for Solar ImpulseSince 2008: Board member of the French Adhesion SocietySince 2000: President of the EPFL Materials Science Library commissionSince 2012: Editorial board member, Applied Surface ScienceSince 2014: Associate Editor, Frontiers in MaterialsSince 2021: Coordinator of the EPFL Minor on 'Engineering for Sustainability' Background 1987: MS in materials science and solid state physics (INPL, France) 1991: PhD in materials science (Ecole des Mines, INPL, France) 1992: Research Associate, National Institute of Standards and Technology (NIST, USA)

Véronique Michaud

Background: 1994 Habilitation à diriger des recherches ( INPG, France) 1991 PhD in Materials Engineering ( MIT, USA) 1987 Ingénieur Civil des Mines ( Ecole des Mines de Paris, France) Activités: Depuis Janvier 2018: Vice-Doyenne de la faculté des ingénieurs, en charge de l'éducation. Juin 2012-Dec.2017: Directrice de la Section Science et Génie des Matériaux Depuis Avril 2017, Professeur Associée EPFL 2009-2017 : Professeur Titulaire at EPFL 1997-2009 : collaboratrice Scientifique EPFL 1994-1997 : Chef de Travaux au laboratoire MSS-MAT, Ecole Centrale Paris (France) 1991-1994 : Post-doctoral research associate, MIT (USA) Environ 300 publications of which 140 in peer-reviewed journals

Sara Dalle Vacche

Michel Kocher

Concepts associés (5)

Morphologie mathématique

La morphologie mathématique est une théorie et technique mathématique et informatique d'analyse de structures qui est liée avec l'algèbre, la théorie des treillis, la topologie et les probabilités. Le développement de la morphologie mathématique est inspiré des problèmes de , domaine qui constitue son principal champ d'application. Elle fournit en particulier des outils de filtrage, , quantification et modélisation d'images. Elle est également utilisable en traitement du signal, par exemple pour filtrer les variations d'une mesure (physique, biologique) au cours du temps.

Dilation (morphology)

Dilation (usually represented by ⊕) is one of the basic operations in mathematical morphology. Originally developed for , it has been expanded first to grayscale images, and then to complete lattices. The dilation operation usually uses a structuring element for probing and expanding the shapes contained in the input image. In binary morphology, dilation is a shift-invariant (translation invariant) operator, equivalent to Minkowski addition. A binary image is viewed in mathematical morphology as a subset of a Euclidean space Rd or the integer grid Zd, for some dimension d.

Opening (morphology)

In mathematical morphology, opening is the dilation of the erosion of a set A by a structuring element B: where and denote erosion and dilation, respectively. Together with closing, the opening serves in computer vision and as a basic workhorse of morphological noise removal. Opening removes small objects from the foreground (usually taken as the bright pixels) of an image, placing them in the background, while closing removes small holes in the foreground, changing small islands of background into foreground.

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Personnes associées (6)