LEADER 04108nam 22007695 450 001 9910485147703321 005 20251225211023.0 010 $a3-319-57240-7 024 7 $a10.1007/978-3-319-57240-6 035 $a(CKB)4340000000060677 035 $a(DE-He213)978-3-319-57240-6 035 $a(MiAaPQ)EBC6302615 035 $a(MiAaPQ)EBC5594441 035 $a(Au-PeEL)EBL5594441 035 $a(OCoLC)1036261127 035 $a(PPN)201471167 035 $a(EXLCZ)994340000000060677 100 $a20170411d2017 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMathematical Morphology and Its Applications to Signal and Image Processing $e13th International Symposium, ISMM 2017, Fontainebleau, France, May 15?17, 2017, Proceedings /$fedited by Jesús Angulo, Santiago Velasco-Forero, Fernand Meyer 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 500 p. 204 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v10225 311 08$a3-319-57239-3 327 $aAlgebraic Theory, Max-Plus and Max-Min Mathematics -- Discrete Geometry and Discrete Topology -- Watershed and Graph-based Segmentation -- Trees and Hierarchies -- Topological and Graph-based Clustering, Classification and Filtering -- Connected Operators and Attribute Filters -- PDE-based Morphology -- Scale-Space Representations and Nonlinear Decompositions -- Computational Morphology -- Object Detection -- Biomedical, Material Science and Physical Applications. 330 $aThis book contains the refereed proceedings of the 13th International Symposium on Mathematical Morphology, ISMM 2017, held in Fontainebleau, France, in May 2017. The 36 revised full papers presented together with 4 short papers were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections on algebraic theory, max-plus and max-min mathematics; discrete geometry and discrete topology; watershed and graph-based segmentation; trees and hierarchies; topological and graph-based clustering, classification and filtering; connected operators and attribute filters; PDE-based morphology; scale-space representations and nonlinear decompositions; computational morphology; object detection; and biomedical, material science and physical applications. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v10225 606 $aComputer vision 606 $aComputer science$xMathematics 606 $aDiscrete mathematics 606 $aAlgorithms 606 $aArtificial intelligence$xData processing 606 $aArtificial intelligence 606 $aComputer Vision 606 $aMathematical Applications in Computer Science 606 $aDiscrete Mathematics in Computer Science 606 $aAlgorithms 606 $aData Science 606 $aArtificial Intelligence 615 0$aComputer vision. 615 0$aComputer science$xMathematics. 615 0$aDiscrete mathematics. 615 0$aAlgorithms. 615 0$aArtificial intelligence$xData processing. 615 0$aArtificial intelligence. 615 14$aComputer Vision. 615 24$aMathematical Applications in Computer Science. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aAlgorithms. 615 24$aData Science. 615 24$aArtificial Intelligence. 676 $a621.367 702 $aAngulo$b Jesús$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVelasco-Forero$b Santiago$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMeyer$b Fernand$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910485147703321 996 $aMathematical Morphology and Its Applications to Signal and Image Processing$92508173 997 $aUNINA