soft computing image processing (179 Ergebnisse)

Hardcover. Zustand: Wie neu. New book, remains wrapped. Language - English. Ships from Berlin.

Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Edition 2002. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2002. Ammareal gives back up to 15% of this item's net price to charity organizations.

Taschenbuch. Zustand: Neu. Neuware -Proper analysis of image and multimedia data requires efficient extraction and segmentation techniques. Among the many computational intelligence approaches, the soft computing paradigm is best equipped with several tools and techniques that incorporate intelligent concepts and principles. This book is dedicated to object extraction, image segmentation, and edge detection using soft computing techniques with extensive real-life application to image and multimedia data.The authors start with a comprehensive tutorial on the basics of brain structure and learning, and then the key soft computing techniques, including evolutionary computation, neural networks, fuzzy sets and fuzzy logic, and rough sets. They then present seven chapters that detail the application of representative techniques to complex image processing tasks such as image recognition, lighting control, target tracking, object extraction, and edge detection. These chapters follow a structured approach with detailed explanations of the problems, solutions, results, and conclusions.This is both a standalone textbook for graduates in computer science, electrical engineering, system science, and information technology, and a reference for researchers and engineers engaged with pattern recognition, image processing, and soft computing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch.

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Gebunden. Zustand: Sehr gut. " Gebraucht - Sehr gut Zustand: Sehr gut, XVI, 412 pp. 197 figs., 31 tab. About this book The volume \"Fuzzy Techniques in Image Processing\" illustrates the successful application of fuzzy set theory in the area of image processing, and represents a broad, up-to-date and state-of-the-art coverage of diverse aspects related to fuzzy techniques in image processing. Besides an extensive state-of-the-art contribution on fuzzy mathematical morphology we present several contributions on a wide variety of topics, including fuzzy filtering, fuzzy image enhancement, fuzzy edge detection, fuzzy image segmentation, fuzzy processing of color images, and applications in medical imaging and robot vision. All chapters are written by outstanding experts in the field, and are characterized by their originality and high-quality standard. Therefore, the book will not only serve as an important reference for scientists and practitioners in this area, but also as an inspiration for newcoming researchers. Written for reseachers and practitioners ".

N.A. Zustand: New. ISBN:9783662601013.

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Hardcover. Zustand: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 2006. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 2006. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 294 | Sprache: Englisch | Produktart: Bücher.

Buch. Zustand: Neu. Neuware -Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol ume, based mostly on his own work, is a milestone in the devel opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net works. Neural excitation is stochastic, so it is natural to investi gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 392 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Images have always been very important in human life. Their applications range from primitive communication between humans of all ages to advanced technologies in the industrial, medical and military field. The increased possibilities to capture and analyze images have contributed to the largeness that the scientific field of 'image processing' has become today. Many techniques are being applied, including soft computing.'Soft Computing in Image Processing: Recent Advances' follows the edited volumes 'Fuzzy Techniques in Image Processing' (volume 52, published in 2000) and 'Fuzzy Filters for Image Processing' (volume 122, published in 2003), and covers a wide range of both practical and theoretical applications of soft computing in image processing. The 16 excellent chapters of the book have been grouped into five parts: Applications in Remote Sensing, Applications in Image Retrieval, Applications in Image Analysis, Other Applications, and Theoretical Contributions. The focus of the book is on practical applications, which makes it interesting for every researcher that is involved with soft computing, image processing, or both scientific branches.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol ume, based mostly on his own work, is a milestone in the devel opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net works. Neural excitation is stochastic, so it is natural to investi gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.

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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Rapid technological development in imaging techniques for therapy planning in recent times has led to the creation of a number of methods that are capable of capturing different phenomena in human / animal body, such as metabolic processes of the organs, blood flow, food activity etc. Analysis of these huge and critical data is time consuming and needs expertise of the specific domain. Under such circumstances use of medical image processing, a field that applies computer technology in medical science to ensure the improved therapeutic planning for health care systems, becomes essential. The last few decades have witnessed a remarkable advancement of this field with direct impact on diagnostic procedures.

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Taschenbuch. Zustand: Neu. Neuware -This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 732 pp. Englisch.

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Hardcover. Zustand: Like New. Like New. book.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. In the past few years, pipelines providing astronomical data have been becoming increasingly important. The wide use of robotic telescopes has provided significant discoveries, and sky survey projects such as SDSS and the future LSST are now considered among the premier projects in the field astronomy. The huge amount of data produced by these pipelines raises the need for automatic processing. Astronomical pipelines introduce several well-defined problems, which challenge designers and operators of robotic telescopes and sky surveys. These include astronomical image compression, cosmic-ray hit rejection, transient detection, meteor triangulation, and association of point sources with their corresponding known stellar objects. This book describes applied soft computing algorithms that provide new or improved solutions to these growing problems in the field automated astronomical data processing. The algorithms discussed in this book enable automatic analysis of vast astronomical pipelines, and allow effective mining of the data for fundamental astronomical discoveries such as optical transients and stellar variability.