A Selection Of Image Analysis Techniques PDF Download
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| Author | : Phillipe Réfrégier |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 261 |
| Release | : 2013-11-22 |
| Genre | : Computers |
| ISBN | : 1441988556 |
Download Statistical Image Processing Techniques for Noisy Images Book in PDF, ePub and Kindle
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 | : CRC Press |
| Total Pages | : 328 |
| Release | : 2021-11 |
| Genre | : Image processing |
| ISBN | : 9781032148489 |
Download A Selection of Image Processing Techniques Book in PDF, ePub and Kindle
"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 | : Walter Kropatsch |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 513 |
| Release | : 2001-05-25 |
| Genre | : Computers |
| ISBN | : 0387950664 |
Download Digital Image Analysis Book in PDF, ePub and Kindle
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 | : Yu-Jin Zhang |
| Publisher | : Engineering Science Reference |
| Total Pages | : 0 |
| Release | : 2011 |
| Genre | : Computers |
| ISBN | : 9781615209910 |
Download Advances in Face Image Analysis Book in PDF, ePub and Kindle
"This book reviews and surveys new forward-thinking research and development in face image analysis technologies"--Provided by publisher.
| Author | : Lena Costaridou |
| Publisher | : CRC Press |
| Total Pages | : 505 |
| Release | : 2005-07-13 |
| Genre | : Medical |
| ISBN | : 0203500458 |
Download Medical Image Analysis Methods Book in PDF, ePub and Kindle
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 | : Hans Grahn |
| Publisher | : John Wiley & Sons |
| Total Pages | : 390 |
| Release | : 2007-09-27 |
| Genre | : Science |
| ISBN | : 9780470010877 |
Download Techniques and Applications of Hyperspectral Image Analysis Book in PDF, ePub and Kindle
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 | : Steven M. de Jong |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 370 |
| Release | : 2007-07-26 |
| Genre | : Science |
| ISBN | : 1402025602 |
Download Remote Sensing Image Analysis: Including the Spatial Domain Book in PDF, ePub and Kindle
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 |
| Total Pages | : 324 |
| Release | : 2020-05-28 |
| Genre | : Computers |
| ISBN | : 0128204117 |
Download Advances in Computational Techniques for Biomedical Image Analysis Book in PDF, ePub and Kindle
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 | : Michael P. Ekstrom |
| Publisher | : Academic Press |
| Total Pages | : 389 |
| Release | : 2012-12-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0323140165 |
Download Digital Image Processing Techniques Book in PDF, ePub and Kindle
Digital Image Processing Techniques is a state-of-the-art review of digital image processing techniques, with emphasis on the processing approaches and their associated algorithms. A canonical set of image processing problems that represent the class of functions typically required in most image processing applications is presented. Each chapter broadly addresses the problem being considered; the best techniques for this particular problem and how they work; their strengths and limitations; and how the techniques are actually implemented as well as their computational aspects. Comprised of eight chapters, this volume begins with a discussion on processing techniques associated with the following tasks: image enhancement, restoration, detection and estimation, reconstruction, and analysis, along with image data compression and image spectral estimation. The second section describes hardware and software systems for digital image processing. Aspects of commercially available systems that combine both processing and display functions are considered, as are future prospects for their technological and architectural evolution. The specifics of system design trade-offs are explicitly presented in detail. This book will be of interest to students, practitioners, and researchers in various disciplines including digital signal processing, computer science, statistical communications theory, control systems, and applied physics.
| Author | : Klaus D. Toennies |
| Publisher | : Springer |
| Total Pages | : 589 |
| Release | : 2017-03-29 |
| Genre | : Computers |
| ISBN | : 1447173201 |
Download Guide to Medical Image Analysis Book in PDF, ePub and Kindle
This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.
