Advanced Digital Image Processing and Its Applications in Big Data

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Publisher : CRC Press
ISBN 13 : 1000281310
Total Pages : 237 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Advanced Digital Image Processing and Its Applications in Big Data by : Ankur Dumka

Download or read book Advanced Digital Image Processing and Its Applications in Big Data written by Ankur Dumka and published by CRC Press. This book was released on 2020-12-09 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.

Advanced Digital Image Processing and Its Applications in Big Data

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Publisher : CRC Press
ISBN 13 : 9781000281354
Total Pages : 0 pages
Book Rating : 4.2/5 (813 download)

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Book Synopsis Advanced Digital Image Processing and Its Applications in Big Data by : Ankur Dumka

Download or read book Advanced Digital Image Processing and Its Applications in Big Data written by Ankur Dumka and published by CRC Press. This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging. There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover: · Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis · New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices · Image compression standards that are needed to serve diverse applications · Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing · Both soft and hard computing approaches at great length in relation to major image processing tasks · The direction and development of current and future research in many areas of image processing · A comprehensive bibliography for additional research (integrated within the framework of the book) This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.

Digital Image Processing

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Publisher : Wiley
ISBN 13 : 9780471009498
Total Pages : 476 pages
Book Rating : 4.0/5 (94 download)

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Book Synopsis Digital Image Processing by : Gregory A. Baxes

Download or read book Digital Image Processing written by Gregory A. Baxes and published by Wiley. This book was released on 1994-09-15 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn about state-of-the-art digital image processing without the complicated math and programming… You don’t have to be a preeminent computer scientist or engineer to get the most out of today’s digital image processing technology. Whether you’re working in medical imaging, machine vision, graphic arts, or just a hobbyist working at home, this book will get you up and running in no time, with all the technical know-how you need to perform sophisticated image processing operations. Designed for end users, as well as an introduction for system designers, developers, and technical managers, this book doesn’t bog you down in complex mathematical formulas or lines of programming code. Instead, in clear down-to-earth language supplemented with numerous example images and the ready-to-run digital image processing program on the enclosed disk, it schools you, step-by-step, in essential digital image processing concepts, principles, techniques, and technologies. Disk contains sample image files and a ready-to-run digital image processing program that lets you do as you learn detailed step-by-step guides to the most commonly used operations, including references to real-world applications and implementations hundreds of before and after images that help illustrate all the operations described comprehensive coverage of current hardware and the best methods for acquiring, displaying, and processing digital images

Remote Sensing and Digital Image Processing with R

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Publisher : CRC Press
ISBN 13 : 100089536X
Total Pages : 537 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Remote Sensing and Digital Image Processing with R by : Marcelo de Carvalho Alves

Download or read book Remote Sensing and Digital Image Processing with R written by Marcelo de Carvalho Alves and published by CRC Press. This book was released on 2023-06-30 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new textbook on remote sensing and digital image processing of natural resources includes numerous, practical problem-solving exercises and applications of sensors and satellite systems using remote sensing data collection resources, and emphasizes the free and open-source platform R. It explains basic concepts of remote sensing and multidisciplinary applications using R language and R packages, by engaging students in learning theory through hands-on, real-life projects. All chapters are structured with learning objectives, computation, questions, solved exercises, resources, and research suggestions. Features Explains the theory of passive and active remote sensing and its applications in water, soil, vegetation, and atmosphere. Covers data analysis in the free and open-source R platform, which makes remote sensing accessible to anyone with a computer. Includes case studies from different environments with free software algorithms and an R toolset for active learning and a learn-by-doing approach. Provides hands-on exercises at the end of each chapter and encourages readers to understand the potential and the limitations of the environments, remote sensing targets, and process. Explores current trends and developments in remote sensing in homework assignments with data to further explore the use of free multispectral remote sensing data, including very high spatial resolution data sources for target recognition with image processing techniques. While the focus of the book is on environmental and agriculture engineering, it can be applied widely to a variety of subjects such as physical, natural, and social sciences. Students in upper-level undergraduate or graduate programs, taking courses in remote sensing, geoprocessing, civil and environmental engineering, geosciences, environmental sciences, electrical engineering, biology, and hydrology will also benefit from the learning objectives in the book. Professionals who use remote sensing and digital processing will also find this text enlightening.

Advanced Digital Image Steganography Using LSB, PVD, and EMD: Emerging Research and Opportunities

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Author :
Publisher : IGI Global
ISBN 13 : 1522575170
Total Pages : 201 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Advanced Digital Image Steganography Using LSB, PVD, and EMD: Emerging Research and Opportunities by : Swain, Gandharba

Download or read book Advanced Digital Image Steganography Using LSB, PVD, and EMD: Emerging Research and Opportunities written by Swain, Gandharba and published by IGI Global. This book was released on 2019-06-28 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last few decades, the use of the Internet has grown tremendously, and the use of online communications has grown even more. The lack of security in private messages between individuals, however, allows hackers to collect loads of sensitive information. Modern security measures are required to prevent this attack on the world’s communication technologies. Advanced Digital Image Steganography Using LSB, PVD, and EMD: Emerging Research and Opportunities provides evolving research exploring the theoretical and practical aspects of data encryption techniques and applications within computer science. The book provides introductory knowledge on steganography and its importance, detailed analysis of how RS and PDH are performed, discussion on pixel value differencing principles, and hybrid approaches using substitution, PVD, and EMD principles. It is ideally designed for researchers and graduate and under graduate students seeking current research on the security of data during transit.

Advanced Image Processing Techniques and Applications

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Publisher : IGI Global
ISBN 13 : 1522520546
Total Pages : 439 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Advanced Image Processing Techniques and Applications by : Kumar, N. Suresh

Download or read book Advanced Image Processing Techniques and Applications written by Kumar, N. Suresh and published by IGI Global. This book was released on 2017-02-10 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

Digital Image Processing

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Author :
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
ISBN 13 :
Total Pages : 824 pages
Book Rating : 4.3/5 (97 download)

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Book Synopsis Digital Image Processing by : Rama Chellappa

Download or read book Digital Image Processing written by Rama Chellappa and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1992 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Digital Image Processing Algorithms and Applications

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 9780471377399
Total Pages : 436 pages
Book Rating : 4.3/5 (773 download)

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Book Synopsis Digital Image Processing Algorithms and Applications by : Ioannis Pitas

Download or read book Digital Image Processing Algorithms and Applications written by Ioannis Pitas and published by John Wiley & Sons. This book was released on 2000-02-22 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community. The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C-code) over the Internet makes the book an invaluable self-study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines.

Advanced Informatics for Computing Research

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Publisher : Springer Nature
ISBN 13 : 9811501084
Total Pages : 477 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advanced Informatics for Computing Research by : Ashish Kumar Luhach

Download or read book Advanced Informatics for Computing Research written by Ashish Kumar Luhach and published by Springer Nature. This book was released on 2019-09-16 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set (CCIS 1075 and CCIS 1076) constitutes the refereed proceedings of the Third International Conference on Advanced Informatics for Computing Research, ICAICR 2019, held in Shimla, India, in June 2019. The 78 revised full papers presented were carefully reviewed and selected from 382 submissions. The papers are organized in topical sections on computing methodologies; hardware; information systems; networks; software and its engineering.

DIGITAL IMAGE PROCESSING AND APPLICATIONS

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Publisher : Horizon Books ( A Division of Ignited Minds Edutech P Ltd)
ISBN 13 : 8194469945
Total Pages : 157 pages
Book Rating : 4.1/5 (944 download)

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Book Synopsis DIGITAL IMAGE PROCESSING AND APPLICATIONS by : V. Chandra Shekhar Rao, Sunkari Venkatramulu & Dr. P. Sammulal

Download or read book DIGITAL IMAGE PROCESSING AND APPLICATIONS written by V. Chandra Shekhar Rao, Sunkari Venkatramulu & Dr. P. Sammulal and published by Horizon Books ( A Division of Ignited Minds Edutech P Ltd). This book was released on 2021-05-05 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: The influence and impact of digital images on modern society, science, technology and art are tremendous. Image processing has become such a critical component in contemporary science and technology that many tasks would not be attempted without it. It is a truly interdisciplinary subject that draws from synergistic developments involving many disciplines and is used in medical imaging, microscopy, astronomy, computer vision, geology and many other fields. With a few exceptions, the topics of optical information processing and digital information processing are usually covered in different books, written by experts in one field or the other. It is rare that the two topics are both covered in the same volume. This book is an exception to this trend, and is notable in several different aspects, but especially in its breadth of coverage of both topics. It seems very appropriate to have both general topics covered in the same book, for optical processing systems (defined broadly) commonly include digital systems to drive the optical system and to post-process the data (example: adaptive-optic systems), while digital processing systems most commonly operate on data that has been gathered by an optical system. As a consequence, sophisticated image-gathering and handling systems today include both types of technology, a merger that grows more complete as time progresses. Indeed, even consumer-oriented devices such as digital cameras are sophisticated systems with optical and digital parts. This is a text for use in a first practical course in image processing and analysis, for final-year undergraduate or first-year graduate students with a background in biomedical engineering, computer science, radiologic sciences or physics. Designed for readers who will become “end users” of digital image processing in the biomedical sciences, it emphasizes the conceptual framework and the effective use of image processing tools and uses mathematics as a tool, minimizing the advanced mathematical development of other textbooks.

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities

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Publisher : IGI Global
ISBN 13 : 1799827380
Total Pages : 271 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities by : Chakraborty, Shouvik

Download or read book Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities written by Chakraborty, Shouvik and published by IGI Global. This book was released on 2020-03-13 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision and object recognition are two technological methods that are frequently used in various professional disciplines. In order to maintain high levels of quality and accuracy of services in these sectors, continuous enhancements and improvements are needed. The implementation of artificial intelligence and machine learning has assisted in the development of digital imaging, yet proper research on the applications of these advancing technologies is lacking. Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities explores the theoretical and practical aspects of modern advancements in digital image analysis and object detection as well as its applications within healthcare, security, and engineering fields. Featuring coverage on a broad range of topics such as disease detection, adaptive learning, and automated image segmentation, this book is ideally designed for engineers, physicians, researchers, academicians, practitioners, scientists, industry professionals, scholars, and students seeking research on the current developments in object recognition using artificial intelligence.

Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA)

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832543804
Total Pages : 89 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA) by : E. Zhang

Download or read book Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA) written by E. Zhang and published by Frontiers Media SA. This book was released on 2024-01-25 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to numerous biomedical information sensing devices, such as Computed Tomography (CT), Magnetic Resonance (MR) Imaging, Ultrasound, Single Photon Emission Computed Tomography (SPECT), and Positron Emission Tomography (PET), to Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy, etc. a large amount of biomedical information was gathered these years. However, identifying how to develop new advanced imaging methods and computational models for efficient data processing, analysis and modelling from the collected data is important for clinical applications and to understand the underlying biological processes. Deep learning approaches have been rapidly developed in recent years, both in terms of methodologies and practical applications. Deep learning techniques provide computational models of multiple processing layers to learn and represent data with multiple levels of abstraction. Deep Learning allows to implicitly capture intricate structures of large-scale data and ideally suited to some of the hardware architectures that are currently available.

Binary Digital Image Processing

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Publisher : Elsevier
ISBN 13 : 9780080527826
Total Pages : 368 pages
Book Rating : 4.5/5 (278 download)

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Book Synopsis Binary Digital Image Processing by : Stéphane Marchand-Maillet

Download or read book Binary Digital Image Processing written by Stéphane Marchand-Maillet and published by Elsevier. This book was released on 1999-12-01 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Binary Digital Image Processing is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing. The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression). Outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processing Addresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithms Includes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under study Includes some practical applications of this work by reviewing some common applications Covers a range of topics, organised by theoretical field rather than being driven by problem definitions

Digital Image Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 038721643X
Total Pages : 513 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Digital Image Analysis by : Walter Kropatsch

Download or read book Digital Image Analysis written by Walter Kropatsch and published by Springer Science & Business Media. This book was released on 2006-05-10 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Intelligence, Big Data Analytics, and IoT in Image Processing

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119865492
Total Pages : 516 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Machine Intelligence, Big Data Analytics, and IoT in Image Processing by : Ashok Kumar

Download or read book Machine Intelligence, Big Data Analytics, and IoT in Image Processing written by Ashok Kumar and published by John Wiley & Sons. This book was released on 2023-02-14 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design and development. This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind. Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life to assist working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies. Audience The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc. will find this book exceedingly useful.

Digital Image Processing Methods

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Author :
Publisher : CRC Press
ISBN 13 : 9780824789275
Total Pages : 510 pages
Book Rating : 4.7/5 (892 download)

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Book Synopsis Digital Image Processing Methods by : Dougherty

Download or read book Digital Image Processing Methods written by Dougherty and published by CRC Press. This book was released on 1994-01-12 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.

Digital Image Processing

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Publisher :
ISBN 13 : 9783662031759
Total Pages : 422 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Digital Image Processing by : Bernd Jahne

Download or read book Digital Image Processing written by Bernd Jahne and published by . This book was released on 2014-01-15 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: