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Author : Paul D. Gader,Edward R. Dougherty
Publisher : SPIE-International Society for Optical Engineering
Page : 374 pages
File Size : 45,9 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015023850731
Author : Paul D. Gader,Jean C. Serra
Publisher : Unknown
Page : 436 pages
File Size : 42,5 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015023869038
Author : Paul D. Gader,Edward R. Dougherty
Publisher : Unknown
Page : 357 pages
File Size : 55,9 Mb
Release : 1991
Category : Electronic books
ISBN : OCLC:1127153667
Author : Jean Serra,Pierre Soille
Publisher : Springer Science & Business Media
Page : 391 pages
File Size : 51,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9789401110402
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.
Author : Paul D. Gader
Publisher : SPIE-International Society for Optical Engineering
Page : 496 pages
File Size : 40,5 Mb
Release : 1990
Category : Computers
ISBN : UOM:39015019623894
Author : Edward R. Dougherty,Roberto A. Lotufo
Publisher : SPIE Press
Page : 294 pages
File Size : 40,5 Mb
Release : 2003
Category : Computers
ISBN : 081944720X
Morphological image processing, a standard part of the imaging scientist's toolbox, can be applied to a wide range of industrial applications. Concentrating on applications, this text shows how to analyse the problems and then develop successful algorithms to solve them.
Author : Paul D. Gader,Edward R. Dougherty,Society of Photo-Optical Instrumentation Engineers,Society for Industrial and Applied Mathematics
Publisher : Unknown
Page : 417 pages
File Size : 53,5 Mb
Release : 1992
Category : Image processing
ISBN : OCLC:759721298
Author : Anonim
Publisher : Unknown
Page : 380 pages
File Size : 43,6 Mb
Release : 1994
Category : Image processing
ISBN : STANFORD:36105002742489
Author : Frank Y. Shih
Publisher : CRC Press
Page : 439 pages
File Size : 52,7 Mb
Release : 2017-07-12
Category : Technology & Engineering
ISBN : 9781351834445
In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition. Those working in these ever-evolving fields require a solid grasp of basic fundamentals, theory, and related applications—and few books can provide the unique tools for learning contained in this text. Image Processing and Mathematical Morphology: Fundamentals and Applications is a comprehensive, wide-ranging overview of morphological mechanisms and techniques and their relation to image processing. More than merely a tutorial on vital technical information, the book places this knowledge into a theoretical framework. This helps readers analyze key principles and architectures and then use the author’s novel ideas on implementation of advanced algorithms to formulate a practical and detailed plan to develop and foster their own ideas. The book: Presents the history and state-of-the-art techniques related to image morphological processing, with numerous practical examples Gives readers a clear tutorial on complex technology and other tools that rely on their intuition for a clear understanding of the subject Includes an updated bibliography and useful graphs and illustrations Examines several new algorithms in great detail so that readers can adapt them to derive their own solution approaches This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Author : Edward R. Dougherty
Publisher : SPIE-International Society for Optical Engineering
Page : 184 pages
File Size : 40,5 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015025208375
Binary erosion and dilation. Binary opening and closing. Morphological processing of binary images. Hit-or-miss transform. Granulometries. Gray-scale morphology. Gray-scale morphological algorithms.
Author : Joseph N. Wilson,Gerhard X. Ritter
Publisher : CRC Press
Page : 444 pages
File Size : 40,5 Mb
Release : 2000-09-21
Category : Computers
ISBN : 9781420042382
Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise representation
Author : Frank Y. Shih
Publisher : CRC Press
Page : 442 pages
File Size : 55,7 Mb
Release : 2017-07-12
Category : Technology & Engineering
ISBN : 9781420089448
In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition. Those working in these ever-evolving fields require a solid grasp of basic fundamentals, theory, and related applications—and few books can provide the unique tools for learning contained in this text. Image Processing and Mathematical Morphology: Fundamentals and Applications is a comprehensive, wide-ranging overview of morphological mechanisms and techniques and their relation to image processing. More than merely a tutorial on vital technical information, the book places this knowledge into a theoretical framework. This helps readers analyze key principles and architectures and then use the author’s novel ideas on implementation of advanced algorithms to formulate a practical and detailed plan to develop and foster their own ideas. The book: Presents the history and state-of-the-art techniques related to image morphological processing, with numerous practical examples Gives readers a clear tutorial on complex technology and other tools that rely on their intuition for a clear understanding of the subject Includes an updated bibliography and useful graphs and illustrations Examines several new algorithms in great detail so that readers can adapt them to derive their own solution approaches This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
Author : Frank Y. Shih
Publisher : John Wiley & Sons
Page : 564 pages
File Size : 43,5 Mb
Release : 2010-05-03
Category : Technology & Engineering
ISBN : 9780470404614
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.
Author : John Goutsias,Luc Vincent,Dan S. Bloomberg
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 49,5 Mb
Release : 2006-04-11
Category : Science
ISBN : 9780306470257
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.
Author : Petros Maragos,Ronald W. Schafer,Muhammad Akmal Butt
Publisher : Springer Science & Business Media
Page : 480 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461304692
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
