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About this book
MM was initiated in the late 1960s by G. Matheron and J. Serra at the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency, easy implementability on special hardware, and suitability for many shape- oriented problems have propelled its widespread diffusion and adoption by many academic and industry groups in many countries as one among the dominant image analysis methodologies.
The purpose of Mathematical Morphology and its Applications to Image and Signal Processing is to provide the image analysis community with a sampling from the current developments in the theoretical (deterministic and stochastic) and computational aspects of MM and its applications to image and signal processing. The book consists of the papers presented at the ISMM'96 grouped into the following themes:
- Theory
- Connectivity
- Filtering
- Nonlinear System Related to Morphology
- Algorithms/Architectures
- Granulometries, Texture
- Segmentation
- Image Sequence Analysis
- Learning
- Document Analysis
- Applications
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Keywords
Table of contents (54 chapters)
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Nonlinear System Related to Morphology
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Algorithms, Architectures
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Granulometries, Texture
Editors and Affiliations
Bibliographic Information
Book Title: Mathematical Morphology and Its Applications to Image and Signal Processing
Editors: Petros Maragos, Ronald W. Schafer, Muhammad Akmal Butt
Series Title: Computational Imaging and Vision
DOI: https://doi.org/10.1007/978-1-4613-0469-2
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 1996
Hardcover ISBN: 978-0-7923-9733-5Published: 31 May 1996
Softcover ISBN: 978-1-4613-8063-4Published: 30 January 2012
eBook ISBN: 978-1-4613-0469-2Published: 06 December 2012
Series ISSN: 1381-6446
Edition Number: 1
Number of Pages: XII, 476
Topics: Image Processing and Computer Vision, Optics, Lasers, Photonics, Optical Devices, Signal, Image and Speech Processing, Computer Imaging, Vision, Pattern Recognition and Graphics, Order, Lattices, Ordered Algebraic Structures