An Interdisciplinary Introduction to Image Processing

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Author :
Publisher : MIT Press
ISBN 13 : 0262300613
Total Pages : 565 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis An Interdisciplinary Introduction to Image Processing by : Steven L. Tanimoto

Download or read book An Interdisciplinary Introduction to Image Processing written by Steven L. Tanimoto and published by MIT Press. This book was released on 2012-04-27 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic principles of image processing and programming explained without college-level mathematics. This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a “transparent” view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.

An Interdisciplinary Introduction to Image Processing

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Author :
Publisher : MIT Press (MA)
ISBN 13 : 9780262301398
Total Pages : 544 pages
Book Rating : 4.3/5 (13 download)

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Book Synopsis An Interdisciplinary Introduction to Image Processing by : Steven Tanimoto

Download or read book An Interdisciplinary Introduction to Image Processing written by Steven Tanimoto and published by MIT Press (MA). This book was released on 2012 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a "transparent" view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.

An Interdisciplinary Introduction to Image Processing

Download An Interdisciplinary Introduction to Image Processing PDF Online Free

Author :
Publisher : MIT Press
ISBN 13 : 0262017164
Total Pages : 565 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis An Interdisciplinary Introduction to Image Processing by : Steven L. Tanimoto

Download or read book An Interdisciplinary Introduction to Image Processing written by Steven L. Tanimoto and published by MIT Press. This book was released on 2012-04-27 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic principles of image processing and programming explained without college-level mathematics. This book explores image processing from several perspectives: the creative, the theoretical (mainly mathematical), and the programmatical. It explains the basic principles of image processing, drawing on key concepts and techniques from mathematics, psychology of perception, computer science, and art, and introduces computer programming as a way to get more control over image processing operations. It does so without requiring college-level mathematics or prior programming experience. The content is supported by PixelMath, a freely available software program that helps the reader understand images as both visual and mathematical objects. The first part of the book covers such topics as digital image representation, sampling, brightness and contrast, color models, geometric transformations, synthesizing images, stereograms, photomosaics, and fractals. The second part of the book introduces computer programming using an open-source version of the easy-to-learn Python language. It covers the basics of image analysis and pattern recognition, including edge detection, convolution, thresholding, contour representation, and K-nearest-neighbor classification. A chapter on computational photography explores such subjects as high-dynamic-range imaging, autofocusing, and methods for automatically inpainting to fill gaps or remove unwanted objects in a scene. Applications described include the design and implementation of an image-based game. The PixelMath software provides a “transparent” view of digital images by allowing the user to view the RGB values of pixels by zooming in on an image. PixelMath provides three interfaces: the pixel calculator; the formula page, an advanced extension of the calculator; and the Python window.

Quantum Image Processing

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Author :
Publisher : Springer Nature
ISBN 13 : 9813293314
Total Pages : 177 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Quantum Image Processing by : Fei Yan

Download or read book Quantum Image Processing written by Fei Yan and published by Springer Nature. This book was released on 2020-01-03 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive introduction to quantum image processing, which focuses on extending conventional image processing tasks to the quantum computing frameworks. It summarizes the available quantum image representations and their operations, reviews the possible quantum image applications and their implementation, and discusses the open questions and future development trends. It offers a valuable reference resource for graduate students and researchers interested in this emerging interdisciplinary field.

State of the Art in Digital Media and Applications

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Publisher : Springer
ISBN 13 : 3319614096
Total Pages : 86 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis State of the Art in Digital Media and Applications by : Rae Earnshaw

Download or read book State of the Art in Digital Media and Applications written by Rae Earnshaw and published by Springer. This book was released on 2017-08-25 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the user-facing aspects of digital media, from the web and computer games, to mobile technologies and social media, and demonstrates how these are continuously growing and developing. The convergence of IT, telecommunications, and media is bringing about a revolution in the way information is collected, stored, accessed and distributed. Rae Earnshaw's book explores the principal factors driving this and the ways in which social and cultural contexts are affected by media content. This is Professor Earnshaw's fourth book in a series that focuses on digital media and creativity, and through the use of Case Studies; the theoretical, practical and technical aspects of digital media are examined. Readers are informed about how the user as content creator, publisher and broadcaster is changing the traditional roles of news media, publishers and entertainment corporations. Topics such as the evolution of digital imaging and the phenomenon of social media are discussed in relation to this. Professor Earnshaw also demonstrates how changes in technology produce shifts in the ways that consumers utilize it, in an increasing variety of application domains such as e-books, digital cameras, Facebook and Twitter. State of the Art in Digital Media and Applications will be invaluable for readers that want a comprehensive look at how emerging digital media technologies are being used, and how they are transforming how we create, consume, exchange and manipulate media content.

A Computational Introduction to Digital Image Processing

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Author :
Publisher : CRC Press
ISBN 13 : 148224733X
Total Pages : 555 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis A Computational Introduction to Digital Image Processing by : Alasdair McAndrew

Download or read book A Computational Introduction to Digital Image Processing written by Alasdair McAndrew and published by CRC Press. This book was released on 2015-10-28 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Statistical Image Processing and Multidimensional Modeling

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Publisher : Springer Science & Business Media
ISBN 13 : 1441972943
Total Pages : 454 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Statistical Image Processing and Multidimensional Modeling by : Paul Fieguth

Download or read book Statistical Image Processing and Multidimensional Modeling written by Paul Fieguth and published by Springer Science & Business Media. This book was released on 2010-10-17 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.

PEM Fuel Cells

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Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110623609
Total Pages : 555 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis PEM Fuel Cells by : Jasna Jankovic

Download or read book PEM Fuel Cells written by Jasna Jankovic and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-05-22 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a comprehensive introduction to the rapidly developing field of modeling and characterization of PEM fuel cells. It focuses on i) fuel cell performance modeling and performance characterization applicable from single cells to stacks, ii) fundamental and advanced techniques for structural and compositional characterization of fuel cell components and iii) electrocatalyst design. Written by experts in this field, this book is an invaluable tool for graduate students and professionals.

Introduction to Image Processing and Analysis

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Publisher : CRC Press
ISBN 13 : 1351837826
Total Pages : 376 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Introduction to Image Processing and Analysis by : John C. Russ

Download or read book Introduction to Image Processing and Analysis written by John C. Russ and published by CRC Press. This book was released on 2017-12-19 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. Homework problems are included in every chapter with solutions available for download from the CRC Press website The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.

Design Strategies for Reimagining the City

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Author :
Publisher : Taylor & Francis
ISBN 13 : 1000602168
Total Pages : 149 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Design Strategies for Reimagining the City by : Linda Matthews

Download or read book Design Strategies for Reimagining the City written by Linda Matthews and published by Taylor & Francis. This book was released on 2022-06-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design Strategies for Reimagining the City is situated between projective geometry, optical science and architectural design. It draws together seemingly unrelated fields in a series of new digital design tools and techniques underpinned by tested prototypes. The book reveals how the relationship between architectural design and the ubiquitous urban camera can be used to question established structures of control and ownership inherent within the visual model of the Western canon. Using key moments from the broad trajectory of historical and contemporary representational mechanisms and techniques, it describes the image’s impact on city form from the inception of linear perspective geometry to the digital turn. The discussion draws upon combined fields of digital geometry, the pictorial adaptation of human optical cues of colour brightness and shape, and modern image-capture technology (webcams, mobile phones and UAVs) to demonstrate how the permeation of contemporary urban space by digital networks calls for new architectural design tools and techniques. A series of speculative drawings and architectural interventions that apply the new design tools and techniques complete the book. Aimed at researchers, academics and upper-level students in digital design and theory, it makes a timely contribution to the ongoing and broadly debated relationship between representation and architecture.

An Introduction to Digital Image Processing

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Author :
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 224 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis An Introduction to Digital Image Processing by : Wayne Niblack

Download or read book An Introduction to Digital Image Processing written by Wayne Niblack and published by Prentice Hall. This book was released on 1986 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Natural Image Statistics

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 1848824912
Total Pages : 450 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Natural Image Statistics by : Aapo Hyvärinen

Download or read book Natural Image Statistics written by Aapo Hyvärinen and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.

A First Course in Fourier Analysis

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Publisher : Cambridge University Press
ISBN 13 : 1139469037
Total Pages : 39 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis A First Course in Fourier Analysis by : David W. Kammler

Download or read book A First Course in Fourier Analysis written by David W. Kammler and published by Cambridge University Press. This book was released on 2008-01-17 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a meaningful resource for applied mathematics through Fourier analysis. It develops a unified theory of discrete and continuous (univariate) Fourier analysis, the fast Fourier transform, and a powerful elementary theory of generalized functions and shows how these mathematical ideas can be used to study sampling theory, PDEs, probability, diffraction, musical tones, and wavelets. The book contains an unusually complete presentation of the Fourier transform calculus. It uses concepts from calculus to present an elementary theory of generalized functions. FT calculus and generalized functions are then used to study the wave equation, diffusion equation, and diffraction equation. Real-world applications of Fourier analysis are described in the chapter on musical tones. A valuable reference on Fourier analysis for a variety of students and scientific professionals, including mathematicians, physicists, chemists, geologists, electrical engineers, mechanical engineers, and others.

Fundamentals of Digital Image Processing

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Publisher : John Wiley & Sons
ISBN 13 : 1119957001
Total Pages : 364 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Fundamentals of Digital Image Processing by : Chris Solomon

Download or read book Fundamentals of Digital Image Processing written by Chris Solomon and published by John Wiley & Sons. This book was released on 2011-07-05 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.

Introduction to Digital Image Processing

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Author :
Publisher : CRC Press
ISBN 13 : 1482216701
Total Pages : 750 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Introduction to Digital Image Processing by : William K. Pratt

Download or read book Introduction to Digital Image Processing written by William K. Pratt and published by CRC Press. This book was released on 2013-09-13 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

From Gestalt Theory to Image Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 0387726357
Total Pages : 278 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis From Gestalt Theory to Image Analysis by : Agnès Desolneux

Download or read book From Gestalt Theory to Image Analysis written by Agnès Desolneux and published by Springer Science & Business Media. This book was released on 2007-12-18 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a new theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are a mathematical formalization of the Gestalt theory. From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis. The book is mathematically self-contained, needing only basic understanding of probability and calculus. The text includes more than 130 illustrations, and numerous examples based on specific images on which the theory is tested. Detailed exercises at the end of each chapter help the reader develop a firm understanding of the concepts imparted.

An Invitation to 3-D Vision

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Publisher : Springer Science & Business Media
ISBN 13 : 0387217797
Total Pages : 542 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis An Invitation to 3-D Vision by : Yi Ma

Download or read book An Invitation to 3-D Vision written by Yi Ma and published by Springer Science & Business Media. This book was released on 2012-11-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the geometry of 3-D vision, that is, the reconstruction of 3-D models of objects from a collection of 2-D images. It details the classic theory of two view geometry and shows that a more proper tool for studying the geometry of multiple views is the so-called rank consideration of the multiple view matrix. It also develops practical reconstruction algorithms and discusses possible extensions of the theory.