Image Processing, Analysis, and Machine Vision

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Publisher : Arden Shakespeare
ISBN 13 : 9780495244387
Total Pages : 829 pages
Book Rating : 4.2/5 (443 download)

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Book Synopsis Image Processing, Analysis, and Machine Vision by : Milan Sonka

Download or read book Image Processing, Analysis, and Machine Vision written by Milan Sonka and published by Arden Shakespeare. This book was released on 2008 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Processing, Analysis and Machine Vision

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Author :
Publisher : Springer
ISBN 13 : 148993216X
Total Pages : 579 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Image Processing, Analysis and Machine Vision by : Milan Sonka

Download or read book Image Processing, Analysis and Machine Vision written by Milan Sonka and published by Springer. This book was released on 2013-11-11 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover - most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the 'elementary' level - that appropriate for undergraduates beginning or completing their studies of the topic, or for Master's students - and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions.

Handbook of Image Processing and Computer Vision

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Publisher : Springer Nature
ISBN 13 : 303038148X
Total Pages : 507 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Handbook of Image Processing and Computer Vision by : Arcangelo Distante

Download or read book Handbook of Image Processing and Computer Vision written by Arcangelo Distante and published by Springer Nature. This book was released on 2020-05-28 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented within cover all aspects of the sensory subsystem required by an intelligent system to perceive the environment and act autonomously. Volume 1 (From Energy to Image) examines the formation, properties, and enhancement of a digital image. Topics and features: • Describes the fundamental processes in the field of artificial vision that enable the formation of digital images from light energy • Covers light propagation, color perception, optical systems, and the analog-to-digital conversion of the signal • Discusses the information recorded in a digital image, and the image processing algorithms that can improve the visual qualities of the image • Reviews boundary extraction algorithms, key linear and geometric transformations, and techniques for image restoration • Presents a selection of different image segmentation algorithms, and of widely-used algorithms for the automatic detection of points of interest • Examines important algorithms for object recognition, texture analysis, 3D reconstruction, motion analysis, and camera calibration • Provides an introduction to four significant types of neural network, namely RBF, SOM, Hopfield, and deep neural networks This all-encompassing survey offers a complete reference for all students, researchers, and practitioners involved in developing intelligent machine vision systems. The work is also an invaluable resource for professionals within the IT/software and electronics industries involved in machine vision, imaging, and artificial intelligence. Dr. Cosimo Distante is a Research Scientist in Computer Vision and Pattern Recognition in the Institute of Applied Sciences and Intelligent Systems (ISAI) at the Italian National Research Council (CNR). Dr. Arcangelo Distante is a researcher and the former Director of the Institute of Intelligent Systems for Automation (ISSIA) at the CNR. His research interests are in the fields of Computer Vision, Pattern Recognition, Machine Learning, and Neural Computation.

Image Processing, Analysis, and Machine Vision

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Publisher : Anchor Books
ISBN 13 : 9781133593690
Total Pages : 870 pages
Book Rating : 4.5/5 (936 download)

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Book Synopsis Image Processing, Analysis, and Machine Vision by : Vaclav Hlavac

Download or read book Image Processing, Analysis, and Machine Vision written by Vaclav Hlavac and published by Anchor Books. This book was released on 2014-01-21 with total page 870 pages. Available in PDF, EPUB and Kindle. Book excerpt: The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.

Image Processing, Analysis, and Machine Vision

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Author :
Publisher : Thomson Learning
ISBN 13 :
Total Pages : 880 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Image Processing, Analysis, and Machine Vision by : Milan Sonka

Download or read book Image Processing, Analysis, and Machine Vision written by Milan Sonka and published by Thomson Learning. This book was released on 2008 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: This robust text provides deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples.

Advanced Machine Vision Paradigms for Medical Image Analysis

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Publisher : Academic Press
ISBN 13 : 0128192968
Total Pages : 308 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Advanced Machine Vision Paradigms for Medical Image Analysis by : Tapan K. Gandhi

Download or read book Advanced Machine Vision Paradigms for Medical Image Analysis written by Tapan K. Gandhi and published by Academic Press. This book was released on 2020-08-11 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision and machine intelligence paradigms are prominent in the domain of medical image applications, including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics. Medical image analysis and understanding are daunting tasks owing to the massive influx of multi-modal medical image data generated during routine clinal practice. Advanced computer vision and machine intelligence approaches have been employed in recent years in the field of image processing and computer vision. However, due to the unstructured nature of medical imaging data and the volume of data produced during routine clinical processes, the applicability of these meta-heuristic algorithms remains to be investigated. Advanced Machine Vision Paradigms for Medical Image Analysis presents an overview of how medical imaging data can be analyzed to provide better diagnosis and treatment of disease. Computer vision techniques can explore texture, shape, contour and prior knowledge along with contextual information, from image sequence and 3D/4D information which helps with better human understanding. Many powerful tools have been developed through image segmentation, machine learning, pattern classification, tracking, and reconstruction to surface much needed quantitative information not easily available through the analysis of trained human specialists. The aim of the book is for medical imaging professionals to acquire and interpret the data, and for computer vision professionals to learn how to provide enhanced medical information by using computer vision techniques. The ultimate objective is to benefit patients without adding to already high healthcare costs. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques, as well as their applications in medical image analysis

Research Developments in Computer Vision and Image Processing: Methodologies and Applications

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Publisher : IGI Global
ISBN 13 : 1466645598
Total Pages : 451 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Research Developments in Computer Vision and Image Processing: Methodologies and Applications by : Srivastava, Rajeev

Download or read book Research Developments in Computer Vision and Image Processing: Methodologies and Applications written by Srivastava, Rajeev and published by IGI Global. This book was released on 2013-09-30 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. Research Developments in Computer Vision and Image Processing: Methodologies and Applications brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.

Bézier and Splines in Image Processing and Machine Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 1846289572
Total Pages : 250 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Bézier and Splines in Image Processing and Machine Vision by : Sambhunath Biswas

Download or read book Bézier and Splines in Image Processing and Machine Vision written by Sambhunath Biswas and published by Springer Science & Business Media. This book was released on 2007-12-20 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance of Bernstein Polynomial in splines, detailed coverage of Beta-splines applications which are relatively new, Splines in motion tracking, various deformative models and their uses. Finally the book covers wavelet splines which are efficient and effective in different image applications.

Algorithms for Image Processing and Computer Vision

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Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 442 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Algorithms for Image Processing and Computer Vision by : Jim R. Parker

Download or read book Algorithms for Image Processing and Computer Vision written by Jim R. Parker and published by John Wiley & Sons. This book was released on 1997 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cookbook of the hottest new algorithms and cutting-edge techniques in image processing and computer vision This amazing book/CD package puts the power of all the hottest new image processing techniques and algorithms in your hands. Based on J. R. Parker's exhaustive survey of Internet newsgroups worldwide, Algorithms for Image Processing and Computer Vision answers the most frequently asked questions with practical solutions. Parker uses dozens of real-life examples taken from fields such as robotics, space exploration, forensic analysis, cartography, and medical diagnostics, to clearly describe the latest techniques for morphing, advanced edge detection, wavelets, texture classification, image restoration, symbol recognition, and genetic algorithms, to name just a few. And, best of all, he implements each method covered in C and provides all the source code on the CD. For the first time, you're rescued from the hours of mind-numbing mathematical calculations it would ordinarily take to program these state-of-the-art image processing capabilities into software. At last, nonmathematicians get all the shortcuts they need for sophisticated image recognition and processing applications. On the CD-ROM you'll find: * Complete code for examples in the book * A gallery of images illustrating the results of advanced techniques * A free GNU compiler that lets you run source code on any platform * A system for restoring damaged or blurred images * A genetic algorithms package

Computer Vision and Image Processing

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Publisher : CRC Press
ISBN 13 : 1351248383
Total Pages : 442 pages
Book Rating : 4.3/5 (512 download)

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Book Synopsis Computer Vision and Image Processing by : Manas Kamal Bhuyan

Download or read book Computer Vision and Image Processing written by Manas Kamal Bhuyan and published by CRC Press. This book was released on 2019-11-05 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book familiarizes readers with fundamental concepts and issues related to computer vision and major approaches that address them. The focus of the book is on image acquisition and image formation models, radiometric models of image formation, image formation in the camera, image processing concepts, concept of feature extraction and feature selection for pattern classification/recognition, and advanced concepts like object classification, object tracking, image-based rendering, and image registration. Intended to be a companion to a typical teaching course on computer vision, the book takes a problem-solving approach.

Algorithms for Image Processing and Computer Vision

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Publisher : John Wiley & Sons
ISBN 13 : 1118021886
Total Pages : 498 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Algorithms for Image Processing and Computer Vision by : J. R. Parker

Download or read book Algorithms for Image Processing and Computer Vision written by J. R. Parker and published by John Wiley & Sons. This book was released on 2010-11-29 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in mathematics. This bestselling book has been fully updated with the newest of these, including 2D vision methods in content-based searches and the use of graphics cards as image processing computational aids. It’s an ideal reference for software engineers and developers, advanced programmers, graphics programmers, scientists, and other specialists who require highly specialized image processing. Algorithms now exist for a wide variety of sophisticated image processing applications required by software engineers and developers, advanced programmers, graphics programmers, scientists, and related specialists This bestselling book has been completely updated to include the latest algorithms, including 2D vision methods in content-based searches, details on modern classifier methods, and graphics cards used as image processing computational aids Saves hours of mathematical calculating by using distributed processing and GPU programming, and gives non-mathematicians the shortcuts needed to program relatively sophisticated applications. Algorithms for Image Processing and Computer Vision, 2nd Edition provides the tools to speed development of image processing applications.

Image Processing, Analysis and Machine Vision

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Author :
Publisher : Springer
ISBN 13 : 9781489932174
Total Pages : 580 pages
Book Rating : 4.9/5 (321 download)

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Book Synopsis Image Processing, Analysis and Machine Vision by : Milan Sonka

Download or read book Image Processing, Analysis and Machine Vision written by Milan Sonka and published by Springer. This book was released on 2014-01-15 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Image Processing and Analysis with Graphs

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Publisher : CRC Press
ISBN 13 : 1439855080
Total Pages : 570 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Image Processing and Analysis with Graphs by : Olivier Lezoray

Download or read book Image Processing and Analysis with Graphs written by Olivier Lezoray and published by CRC Press. This book was released on 2017-07-12 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions. Some key subjects covered in the book include: Definition of graph-theoretical algorithms that enable denoising and image enhancement Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets Analysis of the similarity between objects with graph matching Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.

Machine Vision

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Publisher : Elsevier
ISBN 13 : 0080473245
Total Pages : 973 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Machine Vision by : E. R. Davies

Download or read book Machine Vision written by E. R. Davies and published by Elsevier. This book was released on 2004-12-22 with total page 973 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directly addresses this need.As in earlier editions, E.R. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updated edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. · Includes solid, accessible coverage of 2-D and 3-D scene analysis.· Offers thorough treatment of the Hough Transform—a key technique for inspection and surveillance.· Brings vital topics and techniques together in an integrated system design approach.· Takes full account of the requirement for real-time processing in real applications.

Machine Vision

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Publisher : Springer
ISBN 13 : 3662477947
Total Pages : 802 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Machine Vision by : Jürgen Beyerer

Download or read book Machine Vision written by Jürgen Beyerer and published by Springer. This book was released on 2015-10-01 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.

Machine Vision and Digital Image Processing Fundamentals

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Author :
Publisher : Pearson
ISBN 13 :
Total Pages : 186 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Machine Vision and Digital Image Processing Fundamentals by : Louis J. Galbiati

Download or read book Machine Vision and Digital Image Processing Fundamentals written by Louis J. Galbiati and published by Pearson. This book was released on 1990 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: M->CREATED

Image Processing and Computer Vision in iOS

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Publisher : Springer Nature
ISBN 13 : 3030540324
Total Pages : 66 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Image Processing and Computer Vision in iOS by : Oge Marques

Download or read book Image Processing and Computer Vision in iOS written by Oge Marques and published by Springer Nature. This book was released on 2020-11-23 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the fundamentals of mobile visual computing in iOS development and provides directions for developers and researchers interested in developing iOS applications with image processing and computer vision capabilities. Presenting a technical overview of some of the tools, languages, libraries, frameworks, and APIs currently available for developing iOS applications Image Processing and Computer Vision in iOS reveals the rich capabilities in image processing and computer vision. Its main goal is to provide a road map to what is currently available, and a path to successfully tackle this rather complex but highly rewarding task.