Mathematical morphology is a well established methodology for the analysis of geometrical structures. Its theoretical roots are based on set theory, topology, stochastic geometry, lattice theory, nonlinear partial differential equations, etc. Mathematical morphology is applied to process digital images and other forms of spatial structures as graphs, surface meshes, data clouds, etc.
Mathematical Morphology - Theory and Applications (MMTA) is an Open Access electronic journal publishing either purely theoretical advances, or new ways of applying mathematical morphology to real-world problems. MMTA serves also as a forum open to other related mathematical image processing approaches as discrete geometry, topological imaging and scale-space models.
Accepted papers are published on ongoing basis. The journal publishes:
Letters to the Editor, Amendments, and Commentaries.
Mathematical Morphology - Theory and Applications is devoted to the publication on the following topics:
Algebraic Theory: Morphology on complete lattices and semilattices, Representation of morphological operators, Fuzzy morphology, Connected operators, Morphology on graphs, Morphology on Surface Meshes and Riemannian manifolds.
Nonlinear Scale Space Theory: Morphological decompositions, Morphological PDEs, Level set methods, Morphological wavelets, Morphological regularization.
Discrete Geometry and Combinatorial Topology: Grids, Discrete objects, Discrete model properties, Digitization schemes, Metrics, etc.
Random sets Theory and Geometrical Probability: Boolean model for sets and functions, Stochastic simulation of random media, etc.
(max,+) Mathematics and Idempotent Analysis for Image and Signal Processing.
Image Filtering: Colour and multi-channel morphology, Morphology on tensor fields, Geodesic transformations, Adaptive morphology, Attribute filtering.
Image Segmentation: Watershed segmentation, Hierarchical segmentation, Colour and multi-channel image segmentation, Texture segmentation, Clustering of spatial data
Computational Mathematical Morphology: Algorithms, Architectures, Data structures and programming paradigms for efficient implementation of morphological operators.
Applications: Geoscience and remote sensing, Biomedical imaging, Materials science, Data analysis, Document processing, Content-based information retrieval, Video surveillance, Industrial control, Visualisation, etc.
Why subscribe and read
Mathematical Morphology - Theory and Applications features articles making connections among relevant topics in this field.
It is the first journal dedicated to Mathematical Morphology. Accepted papers are published quickly, including timely anonymous peer review. There are currently no publication or submission fees. The journal provides secure archiving by De Gruyter and the independent archiving service Portico.
Abstracting & Indexing
Mathematical Morphology - Theory and Applications is covered by the following services:
CNKI Scholar (China National Knowledge Infrastructure)
EBSCO (relevant databases)
EBSCO Discovery Service
KESLI-NDSL (Korean National Discovery for Science Leaders)
contain original work - not published elsewhere in any medium (in the whole or in part) by the authors or anyone else and not under consideration for publication in any other medium;
focus on the aims and scope of the journal;
be clearly and correctly written - should contain all essential features of a scientific publication that is easy to understand for the target audience;
written in English - attention to detail of the language will avoid severe misunderstandings which might lead to rejection of the paper;
be delivered in electronic format.
The journal publishes:
Letters to the Editor and Amendments
Open Access License Authors have to sign an Open Access License that is available on the webpage. We encourage the authors to send the signed license along with the manuscript. Please note, that no article will be published unless the Open Access License is signed.
Editors-in-Chief Nicolas Passat, Université de Reims Champagne-Ardenne, France Hugues Talbot, Universite Paris-Saclay, France
Editorial Advisory Board Akira Asano, Kansai University, Japan Junior Barrera, University of Sao Paulo, Brazil Isabelle Bloch, TELECOM ParisTech, France Bhabatosh Chanda, Indian Statistical Institute, Kalkota, India Jocelyn Chanussot, Grenoble Institute of Technology, France Marcin Iwanowski, Warsaw University of Technology, Poland Cris Luengo, Uppsala University, Sweden Dominique Jeulin, MINES ParisTech, France Fernand Meyer, MINES ParisTech, France Christian Ronse, Université de Strasbourg, France Jos Roerdink, University of Groningen, The Netherlands Philippe Salembier, Technical University of Catalonia, Barcelona, Spain Iván R. Terol-Villalobos, CIDETEQ, Mexico
Publisher DE GRUYTER Poland Bogumiła Zuga 32A Str. 01-811 Warsaw, Poland T: +48 22 701 50 15