eBook PDF Download Digital Library
Author: Yu-Jin Zhang
Publisher: CRC Press
Published: 2021-11
Total Pages: 328
ISBN-13: 9781032148489
DOWNLOAD EBOOK →"This book focuses on seven commonly used image processing techniques. These are Image de-noising, Image de-blurring, Image repairing, Image de-fogging, Image reconstruction from projection, Image watermarking, and Image super-resolution. For each of these selected techniques, comprehensive coverage is provided"--
Author: Phillipe Réfrégier
Publisher: Springer Science & Business Media
Published: 2013-11-22
Total Pages: 261
ISBN-13: 1441988556
DOWNLOAD EBOOK →Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.
Author: Yu-Jin Zhang
Publisher: Engineering Science Reference
Published: 2011
Total Pages: 0
ISBN-13: 9781615209910
DOWNLOAD EBOOK →"This book reviews and surveys new forward-thinking research and development in face image analysis technologies"--Provided by publisher.
Author: Walter Kropatsch
Publisher: Springer Science & Business Media
Published: 2001-05-25
Total Pages: 513
ISBN-13: 0387950664
DOWNLOAD EBOOK →The challenge behind the processing of digital images is the huge amounts of data that has to be processed in an extremely short period of time. This book is a broad-ranging technical survey of computational and analytical methods and tools for digital image analysis and interpretation. The ultimate goal is to create a rich set of computational methods for image analysis and interpretation that can achieve rapid response times. This book will serve as an excellent up-to-date resource for computer scientists and engineers in digital imaging and analysis.
Author: Lena Costaridou
Publisher: CRC Press
Published: 2005-07-13
Total Pages: 505
ISBN-13: 0203500458
DOWNLOAD EBOOK →To successfully detect and diagnose disease, it is vital for medical diagnosticians to properly apply the latest medical imaging technologies. It is a worrisome reality that due to either the nature or volume of some of the images provided, early or obscured signs of disease can go undetected or be misdiagnosed. To combat these inaccuracies, diagno
Author: Steven M. de Jong
Publisher: Springer Science & Business Media
Published: 2007-07-26
Total Pages: 370
ISBN-13: 1402025602
DOWNLOAD EBOOK →Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.
Author: Deepika Koundal
Publisher: Academic Press
Published: 2020-05-28
Total Pages: 324
ISBN-13: 0128204117
DOWNLOAD EBOOK →Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation. Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems. Covers various challenges and common research issues related to biomedical image analysis Describes advanced computational approaches for biomedical image analysis Shows how algorithms are applied to a broad range of application areas, including Chest X-ray, breast CAD, lung and chest, microscopy and pathology, etc. Explores a range of computational algorithms and techniques, such as neural networks, fuzzy sets, and evolutionary optimization Explores cloud based medical imaging together with medical imaging security and forensics
Author: Hans Grahn
Publisher: John Wiley & Sons
Published: 2007-09-27
Total Pages: 390
ISBN-13: 9780470010877
DOWNLOAD EBOOK →Techniques and Applications of Hyperspectral Image Analysis gives an introduction to the field of image analysis using hyperspectral techniques, and includes definitions and instrument descriptions. Other imaging topics that are covered are segmentation, regression and classification. The book discusses how high quality images of large data files can be structured and archived. Imaging techniques also demand accurate calibration, and are covered in sections about multivariate calibration techniques. The book explains the most important instruments for hyperspectral imaging in more technical detail. A number of applications from medical and chemical imaging are presented and there is an emphasis on data analysis including modeling, data visualization, model testing and statistical interpretation.
Author: Jean-Luc Starck
Publisher: Cambridge University Press
Published: 1998
Total Pages: 301
ISBN-13: 0521599148
DOWNLOAD EBOOK →Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.
Author: Gonzalez, Fabio A.
Publisher: IGI Global
Published: 2009-12-31
Total Pages: 390
ISBN-13: 1605669571
DOWNLOAD EBOOK →Medical images are at the base of many routine clinical decisions and their influence continues to increase in many fields of medicine. Since the last decade, computers have become an invaluable tool for supporting medical image acquisition, processing, organization and analysis. Biomedical Image Analysis and Machine Learning Technologies: Applications and Techniques provides a panorama of the current boundary between biomedical complexity coming from the medical image context and the multiple techniques which have been used for solving many of these problems. This innovative publication serves as a leading industry reference as well as a source of creative ideas for applications of medical issues.
