Mathematical Morphology Nonlinear Image Processing
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An Introduction To Nonlinear Image Processing
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Author : Edward R. Dougherty
language : en
Publisher: SPIE Press
Release Date : 1994
An Introduction To Nonlinear Image Processing written by Edward R. Dougherty and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Technology & Engineering categories.
From a strict semantic point of view, nonlinear image processing encompasses all image processing that is not based on linear operators; however, from a practical, evolutionary point of view, the name itself is usually associated with the study of nonlinear filters, mainly the deterministic and nondeterministic analysis and design of logic-based operators. This Tutorial Text volume explores logic-based operators with emphasis on representation, design, and statistical optimization of nonlinear filters.
Mathematical Nonlinear Image Processing
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Author : Edward R. Dougherty
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Mathematical Nonlinear Image Processing written by Edward R. Dougherty and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Mathematical Nonlinear Image Processing deals with a fast growing research area. The development of the subject springs from two factors: (1) the great expansion of nonlinear methods applied to problems in imaging and vision, and (2) the degree to which nonlinear approaches are both using and fostering new developments in diverse areas of mathematics. Mathematical Nonlinear Image Processing will be of interest to people working in the areas of applied mathematics as well as researchers in computer vision. Mathematical Nonlinear Image Processing is an edited volume of original research. It has also been published as a special issue of the Journal of Mathematical Imaging and Vision. (Volume 2, Issue 2/3).
Mathematical Morphology Nonlinear Image Processing
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Author :
language : en
Publisher:
Release Date : 2000
Mathematical Morphology Nonlinear Image Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Nonlinear Image Processing
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Author : Sanjit Mitra
language : en
Publisher: Academic Press
Release Date : 2001
Nonlinear Image Processing written by Sanjit Mitra and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.
This state-of-the-art book deals with the most important aspects of non-linear imaging challenges. The need for engineering and mathematical methods is essential for defining non-linear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.
Mathematical Morphology And Its Applications To Image And Signal Processing
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Author : Petros Maragos
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Mathematical Morphology And Its Applications To Image And Signal Processing written by Petros Maragos and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry. 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
Special Issue Mathematical Morphology Nonlinear Image Processing
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Author : Iōannēs Andreadēs
language : en
Publisher:
Release Date : 2000
Special Issue Mathematical Morphology Nonlinear Image Processing written by Iōannēs Andreadēs and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Nonlinear Image Processing
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Author :
language : en
Publisher:
Release Date : 1999
Nonlinear Image Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Digital filters (Mathematics) categories.
Logic Based Nonlinear Image Processing
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Author : Stephen Marshall
language : en
Publisher: SPIE Press
Release Date : 2007
Logic Based Nonlinear Image Processing written by Stephen Marshall and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
This text provides insight into the design of optimal image processing operators for implementation directly into digital hardware. Starting with simple restoration examples and using the minimum of statistics, the book provides a design strategy for a wide range of image processing applications. The text is aimed principally at electronics engineers and computer scientists, but will also be of interest to anyone working with digital images.
Mathematical Morphology Nonlinear Image Processing
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Author : Ioannis Andreadis
language : en
Publisher:
Release Date : 2000
Mathematical Morphology Nonlinear Image Processing written by Ioannis Andreadis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Mathematical Morphology And Its Applications To Image Processing
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Author : Jean Serra
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Mathematical Morphology And Its Applications To Image Processing written by Jean Serra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Mathematical morphology (MM) is a theory for the analysis of spatial structures. It is called morphology since it aims at analysing the shape and form of objects, and it is mathematical in the sense that the analysis is based on set theory, topology, lattice algebra, random functions, etc. MM is not only a theory, but also a powerful image analysis technique. The purpose of the present book is to provide the image analysis community with a snapshot of current theoretical and applied developments of MM. The book consists of forty-five contributions classified by subject. It demonstrates a wide range of topics suited to the morphological approach.