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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 Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-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):
- Optical data processing.
- Computer science--Mathematics.
- Computer science.
- Algorithms.
- Data structures (Computer science).
- Artificial intelligence.
- Image Processing and Computer Vision.
- Math Applications in Computer Science.
- Discrete Mathematics in Computer Science.
- Algorithm Analysis and Problem Complexity.
- Data Structures.
- Artificial Intelligence.
- Local Subjects:
- Image Processing and Computer Vision.
- Math Applications in Computer Science.
- Discrete Mathematics in Computer Science.
- Algorithm Analysis and Problem Complexity.
- Data Structures.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (XIV, 500 pages) : 204 illustrations.
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- 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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