Adaptive Image Processing

Author : Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Publisher : CRC Press
Page : 376 pages
File Size : 55,6 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420084368

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Adaptive Image Processing by Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong Pdf

Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content-based image retrieval, this book continues to provide educators, students, researchers, engineers, and technical managers in visual information processing with the up-to-date understanding required to address contemporary challenges in image content processing and analysis.

Author : Ling Guan,Stuart William Perry,Hau San Wong
Publisher : CRC Press
Page : 288 pages
File Size : 43,9 Mb
Release : 2001-12-21
Category : Technology & Engineering
ISBN : 0849302838

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Adaptive Image Processing by Ling Guan,Stuart William Perry,Hau San Wong Pdf

Adaptive image processing is one of the most important techniques in visual information processing, especially in early vision such as image restoration, filtering, enhancement, and segmentation. While existing books present some important aspects of the issue, there is not a single book that treats this problem from a viewpoint that is directly linked to human perception - until now. This reference treats adaptive image processing from a computational intelligence viewpoint, systematically and successfully, from theory to applications, using the synergies of neural networks, fuzzy logic, and evolutionary computation. Based on the fundamentals of human perception, this book gives a detailed account of computational intelligence methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. Adaptive Image Processing: A Computational Intelligence Perspective consists of 8 chapters: Chapter 1 - Provides material of an introductory nature to describe the basic concepts and current state-of-the-art in the field of computational intelligence for image restoration and edge detection Chapter 2 - Gives a mathematical description of the restoration problem from the neural network perspective, and describes current algorithms based on this method Chapter 3 - Extends the algorithm presented in chapter 2 to implement adaptive constraint restoration methods for both spatially invariant and spatially variant degradations Chapter 4 - Utilizes a perceptually motivated image error measure to introduce novel restoration algorithms Chapter 5 - Examines how model-based neural networks can be used to solve image restoration problems Chapter 6 - Probes image restoration algorithms, making use of the principles of evolutionary computation Chapter 7 - Explores the difficult concept of image restoration when insufficient knowledge of the degrading function is available Chapter 8 - Studies the subject of edge detection and characterization using model-based neural networks The first to treat adaptive image processing from a computational intelligence perspective, this work provides an excellent reference in R&D practice to researchers and IT technologists, is most suitable for teaching image processing and applied neural network courses, and will be of equal value for technical managers and executives in industries where intelligent visual information processing is required.

Author : Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Publisher : CRC Press
Page : 376 pages
File Size : 48,8 Mb
Release : 2009-12-23
Category : Technology & Engineering
ISBN : 1420084356

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Adaptive Image Processing by Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong Pdf

Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content-based image retrieval, this book continues to provide educators, students, researchers, engineers, and technical managers in visual information processing with the up-to-date understanding required to address contemporary challenges in image content processing and analysis.

Author : Andrzej Cichocki,Shun-ichi Amari
Publisher : John Wiley & Sons
Page : 596 pages
File Size : 55,7 Mb
Release : 2002-06-14
Category : Science
ISBN : 0471607916

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Adaptive Blind Signal and Image Processing by Andrzej Cichocki,Shun-ichi Amari Pdf

Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effektive Computersimulationsprogramme. Anschauliche Illustrationen und viele Beispiele sowie eine interaktive CD-ROM ergänzen den Text.

Author : Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong
Publisher : CRC Press
Page : 238 pages
File Size : 54,9 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781351834513

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Adaptive Image Processing by Kim-Hui Yap,Ling Guan,Stuart William Perry,Hau San Wong Pdf

Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated information throughout, the new edition of this popular reference includes substantial new material that focuses on applications of advanced CI techniques in image processing applications. It introduces new concepts and frameworks that demonstrate how neural networks, support vector machines, fuzzy logic, and evolutionary algorithms can be used to address new challenges in image processing, including low-level image processing, visual content analysis, feature extraction, and pattern recognition. Emphasizing developments in state-of-the-art CI techniques, such as content-based image retrieval, this book continues to provide educators, students, researchers, engineers, and technical managers in visual information processing with the up-to-date understanding required to address contemporary challenges in image content processing and analysis.

Author : Ling Guan,Stuart William Perry,Hau San Wong
Publisher : CRC Press
Page : 283 pages
File Size : 44,6 Mb
Release : 2001-12-21
Category : Technology & Engineering
ISBN : 9781420042269

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Adaptive Image Processing by Ling Guan,Stuart William Perry,Hau San Wong Pdf

Adaptive image processing is one of the most important techniques in visual information processing, especially in early vision such as image restoration, filtering, enhancement, and segmentation. While existing books present some important aspects of the issue, there is not a single book that treats this problem from a viewpoint that is directly li

Author : Ilia V. Safonov,Ilya V. Kurilin,Michael N. Rychagov,Ekaterina V. Tolstaya
Publisher : Springer
Page : 304 pages
File Size : 45,6 Mb
Release : 2017-10-31
Category : Technology & Engineering
ISBN : 9789811069314

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Adaptive Image Processing Algorithms for Printing by Ilia V. Safonov,Ilya V. Kurilin,Michael N. Rychagov,Ekaterina V. Tolstaya Pdf

This book presents essential algorithms for the image processing pipeline of photo-printers and accompanying software tools, offering an exposition of multiple image enhancement algorithms, smart aspect-ratio changing techniques for borderless printing and approaches for non-standard printing modes. All the techniques described are content-adaptive and operate in an automatic mode thanks to machine learning reasoning or ingenious heuristics. The first part includes algorithms, for example, red-eye correction and compression artefacts reduction, that can be applied in any photo processing application, while the second part focuses specifically on printing devices, e.g. eco-friendly and anaglyph printing. The majority of the techniques presented have a low computational complexity because they were initially designed for integration in system-on-chip. The book reflects the authors’ practical experience in algorithm development for industrial R&D.

Author : Steve Mann
Publisher : Wiley-IEEE Press
Page : 368 pages
File Size : 41,9 Mb
Release : 2002
Category : Computers
ISBN : UOM:39015053178037

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Intelligent Image Processing by Steve Mann Pdf

Intelligent Image Processing describes the EyeTap technology that allows non-invasive tapping into the human eye through devices built into eyeglass frames. This isn't merely about a computer screen inside eyeglasses, but rather the ability to have a shared telepathic experience among viewers. Written by the developer of the EyeTap principle, this work explores the practical application and far-reaching implications this new technology has for human telecommunications.

Author : Kristy K. Brock
Publisher : CRC Press
Page : 269 pages
File Size : 49,6 Mb
Release : 2016-04-19
Category : Medical
ISBN : 9781439830185

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Image Processing in Radiation Therapy by Kristy K. Brock Pdf

Images from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus requiring medical physicists, clinicians, dosimetrists, radiation therapists, and trainees to integrate and segment these images efficiently and accurately in a clinical environment. Image Processing in Radiation

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 47,7 Mb
Release : 2010
Category : Computational intelligence
ISBN : OCLC:1348895588

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Adaptive Image Processing by Anonim Pdf

Author : Bir Bhanu,Sungkee Lee
Publisher : Springer Science & Business Media
Page : 310 pages
File Size : 40,7 Mb
Release : 1994-09-30
Category : Computers
ISBN : 0792394917

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Genetic Learning for Adaptive Image Segmentation by Bir Bhanu,Sungkee Lee Pdf

Image segmentation is generally the first task in any automated image understanding application, such as autonomous vehicle navigation, object recognition, photointerpretation, etc. All subsequent tasks, such as feature extraction, object detection, and object recognition, rely heavily on the quality of segmentation. One of the fundamental weaknesses of current image segmentation algorithms is their inability to adapt the segmentation process as real-world changes are reflected in the image. Only after numerous modifications to an algorithm's control parameters can any current image segmentation technique be used to handle the diversity of images encountered in real-world applications. Genetic Learning for Adaptive Image Segmentation presents the first closed-loop image segmentation system that incorporates genetic and other algorithms to adapt the segmentation process to changes in image characteristics caused by variable environmental conditions, such as time of day, time of year, weather, etc. Image segmentation performance is evaluated using multiple measures of segmentation quality. These quality measures include global characteristics of the entire image as well as local features of individual object regions in the image. This adaptive image segmentation system provides continuous adaptation to normal environmental variations, exhibits learning capabilities, and provides robust performance when interacting with a dynamic environment. This research is directed towards adapting the performance of a well known existing segmentation algorithm (Phoenix) across a wide variety of environmental conditions which cause changes in the image characteristics. The book presents a large number of experimental results and compares performance with standard techniques used in computer vision for both consistency and quality of segmentation results. These results demonstrate, (a) the ability to adapt the segmentation performance in both indoor and outdoor color imagery, and (b) that learning from experience can be used to improve the segmentation performance over time.

Author : Scott E Umbaugh
Publisher : CRC Press
Page : 980 pages
File Size : 47,9 Mb
Release : 2010-11-19
Category : Technology & Engineering
ISBN : 9781439802052

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Digital Image Processing and Analysis by Scott E Umbaugh Pdf

Whether for computer evaluation of otherworldly terrain or the latest high definition 3D blockbuster, digital image processing involves the acquisition, analysis, and processing of visual information by computer and requires a unique skill set that has yet to be defined a single text. Until now. Taking an applications-oriented, engineering approach, Digital Image Processing and Analysis provides the tools for developing and advancing computer and human vision applications and brings image processing and analysis together into a unified framework. Providing information and background in a logical, as-needed fashion, the author presents topics as they become necessary for understanding the practical imaging model under study. He offers a conceptual presentation of the material for a solid understanding of complex topics and discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field. With liberal use of color through-out and more materials on the processing of color images than the previous edition, this book provides supplementary exercises, a new chapter on applications, and two major new tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. It includes two new software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC). Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools environment for algorithm development, making it an ideal reference tool for this fast growing field.

Author : Rangaraj M. Rangayyan
Publisher : CRC Press
Page : 1312 pages
File Size : 53,9 Mb
Release : 2004-12-30
Category : Medical
ISBN : 9780203492543

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Biomedical Image Analysis by Rangaraj M. Rangayyan Pdf

Computers have become an integral part of medical imaging systems and are used for everything from data acquisition and image generation to image display and analysis. As the scope and complexity of imaging technology steadily increase, more advanced techniques are required to solve the emerging challenges. Biomedical Image Analysis demonstr

Author : Paulo Ambrosio
Publisher : BoD – Books on Demand
Page : 128 pages
File Size : 53,5 Mb
Release : 2022-04-20
Category : Computers
ISBN : 9781839697944

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Digital Image Processing Applications by Paulo Ambrosio Pdf

Digital image processing can refer to a wide variety of techniques, concepts, and applications of different types of processing for different purposes. This book provides examples of digital image processing applications and presents recent research on processing concepts and techniques. Chapters cover such topics as image processing in medical physics, binarization, video processing, and more.

Author : M. Emre Celebi,Bogdan Smolka
Publisher : Springer Science & Business Media
Page : 433 pages
File Size : 50,9 Mb
Release : 2013-12-17
Category : Computers
ISBN : 9789400775848

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Advances in Low-Level Color Image Processing by M. Emre Celebi,Bogdan Smolka Pdf

Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, to which the large number of publications of the past two decades bears witness. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel ones. The goal of this volume is to summarize the state-of-the-art in the early stages of the color image processing pipeline.