Cargando…

Mathematical morphology and its applications to image and signal processing /

Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 200...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing
Otros Autores: Goutsias, John, Vincent, Luc M., Bloomberg, Dan S.
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Boston : Kluwer Academic Publishers, ©2000.
Colección:Computational imaging and vision ; v. 18.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Ma 4500
001 EBOOKCENTRAL_ocn647316885
003 OCoLC
005 20240329122006.0
006 m o d
007 cr cn|||||||||
008 000414s2000 maua ob 101 0 eng d
010 |z  00030174  
040 |a E7B  |b eng  |e pn  |c E7B  |d OCLCQ  |d UAB  |d DKDLA  |d OCLCQ  |d N$T  |d EBLCP  |d OCLCQ  |d IDEBK  |d OCLCO  |d OCLCQ  |d YDXCP  |d OCLCQ  |d NLGGC  |d OCLCQ  |d OCLCF  |d OCLCQ  |d OCLCO  |d COO  |d OCLCO  |d OCL  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO  |d AZK  |d MOR  |d PIFBR  |d ZCU  |d OTZ  |d OCLCQ  |d MERUC  |d OCLCQ  |d OCLCO  |d U3W  |d STF  |d WRM  |d COCUF  |d OCLCQ  |d CEF  |d NRAMU  |d ICG  |d INT  |d VT2  |d AU@  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO  |d WYU  |d CANPU  |d TKN  |d DKC  |d OCLCQ  |d CNTRU  |d OCLCQ  |d OCLCO  |d UKCRE  |d UKAHL  |d SFB  |d OCLCO  |d OCLCQ  |d OCLCO  |d INARC  |d OCLCL 
019 |a 50629857  |a 55046846  |a 228375073  |a 439678636  |a 475693495  |a 488262257  |a 559345717  |a 818973141  |a 888739758  |a 961488107  |a 962698309  |a 988477336  |a 991957157  |a 994788071  |a 1035698747  |a 1037902797  |a 1038598735  |a 1044188047  |a 1045505088  |a 1053048114  |a 1055323800  |a 1056339183  |a 1057982356  |a 1060843989  |a 1065005416  |a 1097270087  |a 1153466211  |a 1228578528  |a 1412768816 
020 |a 9780792378624  |q (Cloth) 
020 |a 0792378628  |q (Cloth) 
020 |a 030647025X  |q (electronic bk.) 
020 |a 9780306470257  |q (electronic bk.) 
020 |a 6610206155 
020 |a 9786610206155 
020 |z 0792378628  |q (alk. paper) 
029 1 |a AU@  |b 000053245448 
029 1 |a DEBBG  |b BV044091056 
029 1 |a NLGGC  |b 251720209 
029 1 |a NZ1  |b 14234289 
035 |a (OCoLC)647316885  |z (OCoLC)50629857  |z (OCoLC)55046846  |z (OCoLC)228375073  |z (OCoLC)439678636  |z (OCoLC)475693495  |z (OCoLC)488262257  |z (OCoLC)559345717  |z (OCoLC)818973141  |z (OCoLC)888739758  |z (OCoLC)961488107  |z (OCoLC)962698309  |z (OCoLC)988477336  |z (OCoLC)991957157  |z (OCoLC)994788071  |z (OCoLC)1035698747  |z (OCoLC)1037902797  |z (OCoLC)1038598735  |z (OCoLC)1044188047  |z (OCoLC)1045505088  |z (OCoLC)1053048114  |z (OCoLC)1055323800  |z (OCoLC)1056339183  |z (OCoLC)1057982356  |z (OCoLC)1060843989  |z (OCoLC)1065005416  |z (OCoLC)1097270087  |z (OCoLC)1153466211  |z (OCoLC)1228578528  |z (OCoLC)1412768816 
050 4 |a TA1637  |b .M36 2000eb 
072 7 |a TEC  |x 015000  |2 bisacsh 
082 0 4 |a 621.36/7/0151  |2 21 
084 |a QM 418  |2 blsrissc 
049 |a UAMI 
245 0 0 |a Mathematical morphology and its applications to image and signal processing /  |c edited by John Goutsias, Luc Vincent, Dan S. Bloomberg. 
260 |a Boston :  |b Kluwer Academic Publishers,  |c ©2000. 
300 |a 1 online resource (viii, 445 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a data file  |2 rda 
490 1 |a Computational imaging and vision ;  |v v. 18 
504 |a Includes bibliographical references and indexes. 
588 0 |a Print version record. 
505 0 |a Cover -- Table of Contents -- Preface -- Introduction -- Theory -- A Morphological View on Traditional Signal Processing -- From the Sup-Decomposition to a Sequential Decomposition -- Decomposition of Separable Concave Structuring Functions -- Minkowski Sum Volume Minimization for Convex Polyhedra -- Topological Properties of Hausdorff Discretizations -- Vectorial Levelings and Flattenings -- A Lattice Control Model of Fuzzy Dynamical Systems in State-Space -- Shape Analysis and Interpolation -- A Morphological Interpolation Approach ... Geodesic Set Definition in Case of Empty Intersection -- The Morphological-Affine Object Deformation -- Affine Invariant Mathematical Morphology Applied to a Generic Shape Recognition Algorithm -- Filtering -- Folding Induced Self-Dual Filters -- Flexible Linear Openings and Closings -- Some Applications of Aperture Filters -- GA Optimisation of Multidimensional Grey-Scale Soft Morphological Filters with Applications in Archive Film Restoration -- Connectivity and Connected Operators -- New Insight on Digital Topology -- Approximate Connectivity and Mathematical Morphology -- Multiresolution Connectivity: An Axiomatic Approach -- Connected Operators Based on Region-Tree Pruning -- Segmentation -- Image Segmentation Based on the Derivative of the Morphological Profile -- Flooding and Segmentation -- A Morphological Multi-Scale Gradient for Color Image Segmentation -- Automatic Watershed Segmentation of Color Images -- Motion Segmentation using Seeded Region Growing -- A Segmentation Pyramid for the Interactive Segmentation of 3-D Images and Video Sequences -- Partition Lattice Operators for Extraction of Semantic Video Objects -- Texture Analysis -- Morphological Granulometric Deconstruction -- Surface Texture Classification from Morphological Transformations -- Content Dependent Image Sampling using Mathematical Morphology: Application to Mipmapping -- Multiresolution Techniques and Scale-Spaces -- Morphological Pyramids and Wavelets Based on the Quincunx Lattice -- Morphological Scale-Space Operators: An Algebraic Framework -- An Idempotent Scale-Space Approach for Morphological Segmentation -- Algorithms -- Efficient Dilation, Erosion, Opening and Closing Algorithms -- Fast Morphological Attribute Operations using Tarjan's Union-Find Algorithm -- A Change Detector Based on Level Sets -- A General Algorithm for Computing Distance Transforms in Linear Time -- The Ordered Queue and the Optimality of the Watershed Approaches -- Discrete 3D Wave Propagation for Computing Morphological Operations from Surface Patches and Unorganized Points -- Applications -- Two-Stage Lossy/Lossless Compression of Grayscale Document Images -- Boosting OCR Classifier by Optimal Edge Noise Filtering -- Morphological Bank Check Logo Segmentation with Few a Priori Knowledge -- Morphological Pseudo Convex Hull to Correct Handwriting Baseline Skew -- Morphological Segmentation of Text and Figures in Renaissance Books (XVI Century) -- Application of Mathematical Morphology and Markov Random Field Theory to the Automatic Extraction of Linear Features in Airborne Images -- Testing Some Morphological Approaches to Face Localization -- Quantitative Description of Telecommunication Networks by Simulation -- Author Index. 
520 |a Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 2000, at Xerox PARC, Palo Alto, California. It provides a broad sampling of the most recent theoretical and practical developments of mathematical morphology and its applications to image and signal processing. Areas covered include: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, morphological shape analysis and interpolation, texture analysis, morphological segmentation, morphological multiresolution techniques and scale-spaces, and morphological algorithms and applications. Audience: The subject matter of this volume will be of interest to electrical engineers, computer scientists, and mathematicians whose research work is focused on the theoretical and practical aspects of nonlinear signal and image processing. It will also be of interest to those working in computer vision, applied mathematics, and computer graphics. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Image processing  |x Mathematics  |v Congresses. 
650 0 |a Signal processing  |x Mathematics  |v Congresses. 
650 0 |a Digital filters (Mathematics)  |v Congresses. 
650 6 |a Traitement d'images  |x Mathématiques  |v Congrès. 
650 6 |a Traitement du signal  |x Mathématiques  |v Congrès. 
650 6 |a Filtres numériques (Mathématiques)  |v Congrès. 
650 7 |a TECHNOLOGY & ENGINEERING  |x Imaging Systems.  |2 bisacsh 
650 7 |a Digital filters (Mathematics)  |2 fast 
650 7 |a Image processing  |x Mathematics  |2 fast 
650 7 |a Signal processing  |x Mathematics  |2 fast 
653 |a Andre fag (naturvidenskab og teknik)  |a Andre fag 
655 7 |a Conference papers and proceedings  |2 fast 
700 1 |a Goutsias, John. 
700 1 |a Vincent, Luc M. 
700 1 |a Bloomberg, Dan S. 
711 2 |a International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing  |n (5th :  |d 2000 :  |c Palo Alto, Calif.) 
758 |i has work:  |a Mathematical morphology and its applications to image and signal processing (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGVgxYdyPdBX6jVVQCwkwy  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |t Mathematical morphology and its applications to image and signal processing.  |d Boston : Kluwer Academic Publishers, ©2000  |w (DLC) 00030174 
830 0 |a Computational imaging and vision ;  |v v. 18. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=3035656  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH3772668 
938 |a EBL - Ebook Library  |b EBLB  |n EBL196926 
938 |a ebrary  |b EBRY  |n ebr10052683 
938 |a EBSCOhost  |b EBSC  |n 71268 
938 |a ProQuest MyiLibrary Digital eBook Collection  |b IDEB  |n 20615 
938 |a YBP Library Services  |b YANK  |n 2291924 
938 |a Internet Archive  |b INAR  |n isbn_9780792378624 
994 |a 92  |b IZTAP