{"product_id":"9783032095435","title":"Discrete Geometry and Mathematical Morphology : 4th International Joint Conference, DGMM 2025, Groningen, the Netherlands, November 3-6, 2025, Proceedings (Lecture Notes in Computer Science)","description":"\u003cp\u003eThis book constitutes the refereed proceedings of the 4th International Joint Conference on Discrete Geometry and Mathematical Morphology, DGMM 2025, held in Groningen, The Netherlands, during November 3 6, 2025.\u003c\/p\u003e\u003cp\u003eThe 37 full papers included in this book were carefully reviewed and selected from 52 submissions. They were organized in topical sections as follows: Discrete Geometry Models, Transforms, and Visualization; Computational Aspects of Discrete Structures and Tilings; Discrete and Combinatorial Topology; Hierarchical and Graph-Based Models, Analysis and Segmentation; Algorithms; Morphological Filters, PDEs and Multivariate Morphology; Mathematical Morphology and Digital Geometry for Applications.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003e.- Discrete Geometry Models, Transforms, and Visualization\n\u003c\/strong\u003e.- An Analytical Definition of Discrete Circles in the Triangular Grid.\n.- Geometry of Gauss digitized convex shapes.\n.- Exact visibility on digitized shapes and application to saliency-aware normal estimation.\n.- Convex and concave decomposition of digitized shapes using plane probing and visibility.\n.- First Results on Locally Turn-Bounded Surfaces in the 3D Euclidean Space.\n\u003cstrong\u003e.- Computational Aspects of Discrete Structures and Tilings\n\u003c\/strong\u003e.- How to peel fully convex digital sets.\n.- Exact polyominoes and non-decomposability.\n.- Tilepaint and Aquarium Puzzles in Periodic Grids.\n.- Conversion of a Digital Object into a Finite Set of Balls: Complexity.\n\u003cstrong\u003e.- Discrete and Combinatorial Topology\n\u003c\/strong\u003e.- The Mid-sphere Cousin of the Medial Axis Transform.\n.- Subfield-Based 3D Curve-Thinning on (18,12) Pictures of the FCC Grid.\n.- Characterization of the computed homology and cohomology bases.\n.- Computing gradient vector fields with Morse sequences.\n\u003cstrong\u003e.- Hierarchical and Graph-Based Models, Analysis and Segmentation\n\u003c\/strong\u003e.- Designing Connected Filters using the Topological Tree of Shapes.\n.- Efficient Connected Alternating Sequential Filters Based on Component Trees.\n.- Spectrogram denoising by filtering max-trees.\n.- On the constrained maximization of influence over a directed tree structure.\n,- Discrete Spiral and Max-Link, Complementary Tools for Vision.\n.- Numerical Implementation of Variational Morphological Operators on Graphs.\n\u003cstrong\u003e.- Algorithms\n\u003c\/strong\u003e.- Shape Filtering and Max-tree Attribute Computation on a GPU.\n.- On the properties of a class of greedy algorithms for multicriteria optimization.\n.- The Tree of Shapes as a distance transform: building the ToS on High-Dynamic Range images.\n.- A linear time algorithm for local minimum and maximum filters.\n.- Waterfall-Bor uvka based algorithm for binary partition tree.\n\u003cstrong\u003e.- Learning Based Morphology\n\u003c\/strong\u003e.- Improving Morphological Networks for Learning Image-to-Image Transforms.\n.- A mathematical morphology view of the universal representation of scattering networks.\n.- Learning Morphological Representations of Image Transformations: Influence of Initialization and Layer Differentiability.\n\u003cstrong\u003e.- Morphological Filters, PDEs and Multivariate Morphology\n\u003c\/strong\u003e.- Morphological PDEs with Rotationally Invariant Space-Fractional Derivatives.\n.- On the representation of stack operators by mathematical morphology.\n.- Morphological Leveling based on the Log-Exp-Supremum for Colour Images.\n.- Approximating Condorcet Ordering for Vector-valued Mathematical Morphology.\n\u003cstrong\u003e.- Mathematical Morphology and Digital Geometry for Applications\n\u003c\/strong\u003e.- Microscopic Image Reconstruction under Convexity Constraints.\n.- Efficient Content-Based Time Series Retrieval using Pattern Spectra.\n.- Morphological Granulometric Analysis of Particle Imagery from Microgravity Experiments.\n.- Formalizing an Iterated Morphological Erosion for the Discovery of Musical Patterns and Their Variations.\n.- Digital plane detection in a point set: application to the interactive extraction of charcoal platforms from airborne LiDAR.\u003c\/p\u003e","brand":"Springer Nature Switzerland AG","offers":[{"title":"Default Title","offer_id":42665490284619,"sku":"00000_00000_00000_00000","price":4991.11,"currency_code":"THB","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0641\/0023\/7387\/files\/9783032095435-1.jpg?v=1783500121","url":"https:\/\/kinokuniya.co.th\/ja\/products\/9783032095435","provider":"Books Kinokuniya Thailand","version":"1.0","type":"link"}