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Mathematical Morphology and Its Applications to Signal and Image Processing : 13th International Symposium, ISMM 2017, Fontainebleau, France, May 15-17, 2017, Proceedings / edited by Jesús Angulo, Santiago Velasco-Forero, Fernand Meyer.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Angulo, Jesús, Editor.
Velasco-Forero, Santiago, Editor.
Meyer, Fernand, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 10225
Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10225
Language:
English
Subjects (All):
Computer vision.
Computer science-Mathematics.
Discrete mathematics.
Algorithms.
Artificial intelligence-Data processing.
Artificial intelligence.
Computer Vision.
Mathematical Applications in Computer Science.
Discrete Mathematics in Computer Science.
Data Science.
Artificial Intelligence.
Local Subjects:
Computer Vision.
Mathematical Applications in Computer Science.
Discrete Mathematics in Computer Science.
Algorithms.
Data Science.
Artificial Intelligence.
Physical Description:
1 online resource (XIV, 500 pages) : 204 illustrations
Edition:
1st ed. 2017.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2017.
System Details:
text file PDF
Summary:
This 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.
Contents:
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
Biomedical, Material Science and Physical Applications.
Other Format:
Printed edition:
ISBN:
978-3-319-57240-6
9783319572406
Access Restriction:
Restricted for use by site license.

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