A Computational Introduction to Digital Image Processing

A Computational Introduction to Digital Image Processing PDF Author: Alasdair McAndrew
Publisher: CRC Press
ISBN: 148224733X
Category : Computers
Languages : en
Pages : 555

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Book Description
Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial SoftwareA Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that

A Computational Introduction to Digital Image Processing

A Computational Introduction to Digital Image Processing PDF Author: Alasdair McAndrew
Publisher: CRC Press
ISBN: 148224733X
Category : Computers
Languages : en
Pages : 555

Get Book Here

Book Description
Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial SoftwareA Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that

A Computational Introduction to Digital Image Processing, Second Edition, 2nd Edition

A Computational Introduction to Digital Image Processing, Second Edition, 2nd Edition PDF Author: Alasdair McAndrew
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 535

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Book Description
Highly Regarded, Accessible Approach to Image Processing Using Open-Source and Commercial Software A Computational Introduction to Digital Image Processing, Second Edition explores the nature and use of digital images and shows how they can be obtained, stored, and displayed. Taking a strictly elementary perspective, the book only covers topics that involve simple mathematics yet offer a very broad and deep introduction to the discipline. New to the Second Edition This second edition provides users with three different computing options. Along with MATLAB ®, this edition now includes GNU Octave and Python. Users can choose the best software to fit their needs or migrate from one system to another. Programs are written as modular as possible, allowing for greater flexibility, code reuse, and conciseness. This edition also contains new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, retinex algorithm, LZW compression, and other topics. Principles, Practices, and Programming Based on the author's successful image processing courses, this bestseller is suitable for classroom use or self-study. In a straightforward way, the text illustrates how to implement imaging techniques in MATLAB, GNU Octave, and Python. It includes numerous examples and exercises to give students hands-on practice with the material.

Digital Image Processing

Digital Image Processing PDF Author: J M Blackledge
Publisher: Elsevier
ISBN: 0857099469
Category : Computers
Languages : en
Pages : 826

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Book Description
This authoritative text (the second part of a complete MSc course) provides mathematical methods required to describe images, image formation and different imaging systems, coupled with the principle techniques used for processing digital images. It is based on a course for postgraduates reading physics, electronic engineering, telecommunications engineering, information technology and computer science. This book relates the methods of processing and interpreting digital images to the 'physics' of imaging systems. Case studies reinforce the methods discussed, with examples of current research themes. - Provides mathematical methods required to describe images, image formation and different imaging systems - Outlines the principle techniques used for processing digital images - Relates the methods of processing and interpreting digital images to the 'physics' of imaging systems

Digital Image Processing

Digital Image Processing PDF Author: Wilhelm Burger
Publisher: Springer Science & Business Media
ISBN: 9781846283796
Category : Computers
Languages : en
Pages : 596

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Book Description
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.

Introduction to Digital Image Processing with MATLAB

Introduction to Digital Image Processing with MATLAB PDF Author: Alasdair McAndrew
Publisher:
ISBN: 9781111296193
Category : Image processing
Languages : en
Pages : 521

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Book Description


An Introduction to Digital Image Processing

An Introduction to Digital Image Processing PDF Author: Wayne Niblack
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 224

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Book Description


Introduction to Digital Image Processing

Introduction to Digital Image Processing PDF Author: William K. Pratt
Publisher: CRC Press
ISBN: 1482216701
Category : Computers
Languages : en
Pages : 750

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Book Description
The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced s

Binary Digital Image Processing

Binary Digital Image Processing PDF Author: Stéphane Marchand-Maillet
Publisher: Elsevier
ISBN: 0080527825
Category : Technology & Engineering
Languages : en
Pages : 279

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Book Description
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 Processing

Digital Image Processing PDF Author: Gregory A. Baxes
Publisher: Wiley
ISBN: 9780471009498
Category : Technology & Engineering
Languages : en
Pages : 476

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Book Description
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

Principles of Digital Image Processing

Principles of Digital Image Processing PDF Author: Wilhelm Burger
Publisher: Springer Science & Business Media
ISBN: 1848829191
Category : Computers
Languages : en
Pages : 374

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Book Description
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.