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Digital Image Processing Part Ii Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Digital Image Processing Part Ii book. This book definitely worth reading, it is an incredibly well-written.
Author : Huiyu Zhou,Jiahua Wu,Jianguo Zhang
Publisher : Bookboon
Page : 91 pages
File Size : 46,5 Mb
Release : 2010
Category : Electronic
ISBN : 9788776815424
Author : Huiyu Zhou,Jiahua Wu,Jianguo Zhang
Publisher : Bookboon
Page : 72 pages
File Size : 40,8 Mb
Release : 2010
Category : Electronic
ISBN : 9788776815417
Author : Kenneth R. Castleman
Publisher : Pearson
Page : 696 pages
File Size : 43,6 Mb
Release : 1996
Category : Image processing
ISBN : UCSD:31822020636890
Digital image processing has experienced explosive growth over the past two decades. Public awareness has increased by way of video games, digital video special effects used in the entertainment industry, as well as articles in the mainstream press. However, the most significant impact of digital image processing in the 90s will be in the area of applications to real-world problems. To help readers keep pace, author Kenneth R. Castleman concentrates on those techniques that have proven most useful in practice. Part I presents several important concepts that can be developed without detailed mathematical analysis for a basic understanding. Part II addresses techniques that rely more on mathematics and elaborates analytically on certain concepts introduced in Part I. Part III covers specific application areas that are particularly important in industry, science, and medicine.
Author : Rafael C. Gonzalez,Richard E. Woods
Publisher : Pearson UK
Page : 1022 pages
File Size : 52,8 Mb
Release : 2018-06-21
Category : Computers
ISBN : 9781292223070
The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed. For courses in Image Processing and Computer Vision. For years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), MERS, graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and each histogram matching. Major improvements were made in reorganising the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.
Author : Wilhelm Burger,Mark J. Burge
Publisher : Springer Science & Business Media
Page : 374 pages
File Size : 43,5 Mb
Release : 2013-11-18
Category : Computers
ISBN : 9781848829190
This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.
Author : Rafael C. Gonzalez,Richard Eugene Woods
Publisher : Prentice Hall
Page : 977 pages
File Size : 40,7 Mb
Release : 2008
Category : Image processing
ISBN : 9780131687288
A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.
Author : Wilhelm Burger,Mark J. Burge
Publisher : Springer Science & Business Media
Page : 596 pages
File Size : 46,6 Mb
Release : 2012-01-19
Category : Computers
ISBN : 1846283795
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.
Author : S. Annadurai
Publisher : Pearson Education India
Page : 444 pages
File Size : 50,8 Mb
Release : 2007
Category : Electronic books
ISBN : 8177584790
Author : Dougherty
Publisher : CRC Press
Page : 510 pages
File Size : 55,6 Mb
Release : 1994-01-12
Category : Technology & Engineering
ISBN : 082478927X
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.
Author : Ankur Dumka,Alaknanda Ashok,Parag Verma,Poonam Verma
Publisher : CRC Press
Page : 237 pages
File Size : 50,5 Mb
Release : 2020-12-09
Category : Computers
ISBN : 9781000281316
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.
Author : Wayne Niblack
Publisher : Prentice Hall
Page : 224 pages
File Size : 49,6 Mb
Release : 1986
Category : Computers
ISBN : UOM:39015011176404
Author : Stéphane Marchand-Maillet,Yazid M. Sharaiha
Publisher : Elsevier
Page : 368 pages
File Size : 52,7 Mb
Release : 1999-12-01
Category : Technology & Engineering
ISBN : 0080527825
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
Author : Rama Chellappa
Publisher : Institute of Electrical & Electronics Engineers(IEEE)
Page : 824 pages
File Size : 47,6 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015028489410
Author : John R. Jensen
Publisher : Prentice Hall
Page : 544 pages
File Size : 51,5 Mb
Release : 2015-04-17
Category : Science
ISBN : 013405816X
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. Introductory Digital Image Processing: A Remote Sensing Perspective focuses on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Pearson Series Geographic Information Science. Now in full color, the Fourth Edition provides up-to-date information on analytical methods used to analyze digital remote sensing data. Each chapter contains a substantive reference list that can be used by students and scientists as a starting place for their digital image processing project or research. A new appendix provides sources of imagery and other geospatial information.
Author : Michael P. Ekstrom
Publisher : Academic Press
Page : 389 pages
File Size : 43,6 Mb
Release : 2012-12-02
Category : Technology & Engineering
ISBN : 9780323140164
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.
