Image Processing In C

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Publisher :
ISBN 13 : 9788170295150
Total Pages : 0 pages
Book Rating : 4.2/5 (951 download)

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Book Synopsis Image Processing In C by : Dwayne Phillips

Download or read book Image Processing In C written by Dwayne Phillips and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Is A Tutorial On Image Processing. Each Chapter Explains Basic Concepts With Words And Figures, Shows Image Processing Results With Photographs, And Implements The Operations In C. The C Code In This Book Is Based On A Series Of Articles Published In The C Users Journal From 1990 Through 1993, And Includes Three Entirely New Chapters And Six New Appendices. The New Chapters Are 1) An Introduction To The Entire System, 2) A Set Of Routines For Boolean Operations On Images -- Such As Subtracting Or Adding One With Another, 3) A Batch System For Performing Offline Processing (Such As Overnight For Long Involved Manipulations). The C Image Processing System (Cips) Works With Tag Image File Format (Tiff) Gray Scale Images. The Entire System Has Been Updated From The Original Publications To Comply With The Tiff 6.0 Specification From June 1993 (The Magazine Articles Were Written For The Tiff 5.0 Specification.) The Text And Accompanying Source Code Provide Working Edge Detectors, Filters, And Histogram Equalizers, I/O Routines, Display And Print Procedures That Are Ready To Use, Or Can Be Modified For Special Applications. Print Routines Are Provided For Laser Printers, Graphics Printers, And Character Printers. Display Procedures Are Provided For Monochrome, Cga, Vga, And Ega Monitors. All Of These Functions Are Provided In A System That Will Run On A Garden Variety Pc, Not Requiring A Math Co-Processor, Frame Grabber, Or Super Vga Monitor.

A Concise Introduction to Image Processing using C++

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Publisher : CRC Press
ISBN 13 : 1584888989
Total Pages : 264 pages
Book Rating : 4.5/5 (848 download)

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Book Synopsis A Concise Introduction to Image Processing using C++ by : Meiqing Wang

Download or read book A Concise Introduction to Image Processing using C++ written by Meiqing Wang and published by CRC Press. This book was released on 2016-04-19 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in fractal-based image and video compression, A Concise Introduction to Image Processing using C++ strengthens your knowledge of fundamentals principles in image acquisition, con

Practical Image Processing in C

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Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Practical Image Processing in C by : Craig A. Lindley

Download or read book Practical Image Processing in C written by Craig A. Lindley and published by Wiley-Interscience. This book was released on 1991-01-16 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: The video digitizer project. Classical image processing. Additional information.

Intermediate C Programming

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Publisher : CRC Press
ISBN 13 : 1003832741
Total Pages : 549 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intermediate C Programming by : Yung-Hsiang Lu

Download or read book Intermediate C Programming written by Yung-Hsiang Lu and published by CRC Press. This book was released on 2024-02-06 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised for a new second edition, Intermediate C Programming provides a stepping-stone for intermediate-level students to go from writing short programs to writing real programs well. It shows students how to identify and eliminate bugs, write clean code, share code with others, and use standard Linux-based tools, such as ddd and valgrind. This second edition provides expanded coverage of these topics with new material focused on software engineering, including version control and unit testing. The text enhances their programming skills by explaining programming concepts and comparing common mistakes with correct programs. It also discusses how to use debuggers and the strategies for debugging as well as studies the connection between programming and discrete mathematics. Including additional student and instructor resources available online, this book is particularly appealing as a classroom resource.

Introduction to Image Processing and Analysis

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Publisher : CRC Press
ISBN 13 : 1420006495
Total Pages : 394 pages
Book Rating : 4.4/5 (2 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 394 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.

The Image Processing Handbook

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Publisher : CRC Press
ISBN 13 : 0203881095
Total Pages : 836 pages
Book Rating : 4.2/5 (38 download)

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Book Synopsis The Image Processing Handbook by : John C. Russ

Download or read book The Image Processing Handbook written by John C. Russ and published by CRC Press. This book was released on 2006-12-19 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: Now in its fifth edition, John C. Russ‘s monumental image processing reference is an even more complete, modern, and hands-on tool than ever before. The Image Processing Handbook, Fifth Edition is fully updated and expanded to reflect the latest developments in the field. Written by an expert with unequalled experience and authority, it offers clea

Pattern Recognition and Image Processing in C++

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Publisher : Vieweg+Teubner Verlag
ISBN 13 : 3322878678
Total Pages : 370 pages
Book Rating : 4.3/5 (228 download)

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Book Synopsis Pattern Recognition and Image Processing in C++ by : Dietrich Paulus

Download or read book Pattern Recognition and Image Processing in C++ written by Dietrich Paulus and published by Vieweg+Teubner Verlag. This book was released on 2012-12-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parts of this text were used for several years by students in a one~term under graduate course in computer science. The students had to prepare projects in small groups (2~4 students).1 This book emphasizes practical experience with image processing. It offers a comprehensive study of • image processing and image analysis, • basics of speech processing, • object~oriented programming, • software design, • and programming in C++. The book is divided into four parts. In the first part we introduce image processing, image analysis, programming tools, and the basics of C++. In the second part we describe object~oriented programming in general and the possible applications of object~oriented concepts in C++. Several appli cations of object~oriented programming for image processing are discussed as well. The new features of C++ are introduced entirely through the use of examples. We cover the proper representation of the data that is a result of pattern analysis as well. The third part describes a complete system for image segmentation. Some of the material covered refers to the exercises found in the first and second parts: this verifies our belief that an image segmentation system of programs can be developed while simultaneously acquainting others to C++. We combine the data representation described in the second part with the algorithms that use and manipulate them here in the third part.

Digital Image Processing with C++

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Publisher : CRC Press
ISBN 13 : 1000831426
Total Pages : 309 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Digital Image Processing with C++ by : David Tschumperle

Download or read book Digital Image Processing with C++ written by David Tschumperle and published by CRC Press. This book was released on 2023-03-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Image Processing with C++ presents the theory of digital image processing, and implementations of algorithms using a dedicated library. Processing a digital image means transforming its content (denoising, stylizing, etc.), or extracting information to solve a given problem (object recognition, measurement, motion estimation, etc.). This book presents the mathematical theories underlying digital image processing, as well as their practical implementation through examples of algorithms implemented in the C++ language, using the free and easy-to-use CImg library. Chapters cover in a broad way the field of digital image processing and proposes practical and functional implementations of each method theoretically described. The main topics covered include filtering in spatial and frequency domains, mathematical morphology, feature extraction and applications to segmentation, motion estimation, multispectral image processing and 3D visualization. Students or developers wishing to discover or specialize in this discipline, teachers and researchers wishing to quickly prototype new algorithms, or develop courses, will all find in this book material to discover image processing or deepen their knowledge in this field.

Introduction to Image Processing Using R

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Publisher : Springer Science & Business Media
ISBN 13 : 1447149505
Total Pages : 95 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Introduction to Image Processing Using R by : Alejandro C. Frery

Download or read book Introduction to Image Processing Using R written by Alejandro C. Frery and published by Springer Science & Business Media. This book was released on 2013-02-01 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.

A Simplified Approach to Image Processing

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Publisher : Prentice Hall
ISBN 13 : 9780132264167
Total Pages : 0 pages
Book Rating : 4.2/5 (641 download)

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Book Synopsis A Simplified Approach to Image Processing by : Randy Crane

Download or read book A Simplified Approach to Image Processing written by Randy Crane and published by Prentice Hall. This book was released on 1997 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image processing, the use of computers to process pictures, has revolutionized the fields of medicine, space exploration, geology, and oceanography, and has become the hottest area in digital signal processing. This book provides a comprehensive introduction to the most popular image processing techniques used today, without getting bogged down in the complex mathematical presentations found in most image processing books and journals.The book covers the hottes t topics in image proessing, including whole chapters on the processing of color images, image warping and morphing techniques, and image compression. The diskette, written in portable C code, provides a "hands-on" introduction to image processing techniques that can be incorporated into the user's applications.For computer programmers and electrical engineers who need to enhance image processing applications.

The Essential Guide to Image Processing

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Publisher : Academic Press
ISBN 13 : 0080922511
Total Pages : 877 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis The Essential Guide to Image Processing by : Alan C. Bovik

Download or read book The Essential Guide to Image Processing written by Alan C. Bovik and published by Academic Press. This book was released on 2009-07-08 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key applications: image watermarking, fingerprint recognition, face recognition and iris recognition and medical imaging. "This book combines basic image processing techniques with some of the most advanced procedures. Introductory chapters dedicated to general principles are presented alongside detailed application-orientated ones. As a result it is suitably adapted for different classes of readers, ranging from Master to PhD students and beyond." – Prof. Jean-Philippe Thiran, EPFL, Lausanne, Switzerland "Al Bovik’s compendium proceeds systematically from fundamentals to today’s research frontiers. Professor Bovik, himself a highly respected leader in the field, has invited an all-star team of contributors. Students, researchers, and practitioners of image processing alike should benefit from the Essential Guide." – Prof. Bernd Girod, Stanford University, USA "This book is informative, easy to read with plenty of examples, and allows great flexibility in tailoring a course on image processing or analysis." – Prof. Pamela Cosman, University of California, San Diego, USA A complete and modern introduction to the basic and intermediate concepts of image processing – edited and written by the leading people in the field An essential reference for all types of engineers working on image processing applications Up-to-date content, including statistical modelling of natural, anisotropic diffusion, image quality and the latest developments in JPEG 2000

Digital Image Processing Algorithms and Applications

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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.

Digital Image Processing, Global Edition

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Publisher : Pearson UK
ISBN 13 : 1292223073
Total Pages : 1022 pages
Book Rating : 4.2/5 (922 download)

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Book Synopsis Digital Image Processing, Global Edition by : Rafael C. Gonzalez

Download or read book Digital Image Processing, Global Edition written by Rafael C. Gonzalez and published by Pearson UK. This book was released on 2018-06-21 with total page 1022 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Modern Algorithms for Image Processing

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Publisher : Apress
ISBN 13 : 1484242378
Total Pages : 279 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Modern Algorithms for Image Processing by : Vladimir Kovalevsky

Download or read book Modern Algorithms for Image Processing written by Vladimir Kovalevsky and published by Apress. This book was released on 2018-12-10 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilize modern methods for digital image processing and take advantage of the many time-saving templates provided for all of the projects in this book. Modern Algorithms for Image Processing approaches the topic of image processing through teaching by example. Throughout the book, you will create projects that resolve typical problems that you might encounter in the world of digital image processing. Some projects teach you methods for addressing the quality of images, such as reducing random errors or noise and suppressing pulse noise (salt and pepper), a method valuable for improving the quality of historical images. Other methods detail how to correct inhomogeneous illumination, not by means of subtracting the mean illumination, but through division, a far more efficient method. Additional projects cover contrasting, and a process for edge detection, more efficient than Canny's, for detecting edges in color images directly, without converting them into black and white images. What You'll Learn Apply innovative methods for suppressing pulse noise, enhancing contrast, and edge detectionKnow the pros and cons of enlisting a particular method Use new approaches for image compression and recognizing circles in photos Utilize a valuable method for straightening photos of paintings taken at an oblique angle, a critical concept to understand when using flash at a right angle Understand the problem statement of polygonal approximation of boundaries or edges and its solution Use a new method for detecting bicycles in trafficAccess complete source code examples in C# for all of the projects Who This Book Is For C# developers who work with digital image processing or are interested in informatics. The reader should have programming experience and access to an integrated development environment (IDE), ideally .NET. This book does not prove or disprove theorems, but suggests methods for learning valuable concepts that will enable you to customize your own image processing projects.

The Pocket Handbook of Image Processing Algorithms in C

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Publisher : Prentice Hall
ISBN 13 :
Total Pages : 324 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The Pocket Handbook of Image Processing Algorithms in C by : Harley R. Myler

Download or read book The Pocket Handbook of Image Processing Algorithms in C written by Harley R. Myler and published by Prentice Hall. This book was released on 1993 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handy desktop reference gathers together into one easy-to-use volume the most popular image processing algorithms. Designed to be used at the computer terminal, it features an illustrated, annotated dictionary format -- with clear, concise definitions, examples, and C program code. Covers algorithms for adaptive filters, coding and compression, color image processing, histogram operations, image fundamentals, mensuration, morphological filters, nonlinear filters, segmentation, spatial filters, spatial frequency filters, storage formats, and transforms. Includes graphic oriented techniques such as warping, morphing, zooming, and dithering. Provides algorithms for image noise generation. MARKETS: For users and developers of image processing systems and programs.

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.

Practical Image Processing in C

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Publisher : Wiley-Interscience
ISBN 13 :
Total Pages : 592 pages
Book Rating : 4.4/5 (91 download)

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Book Synopsis Practical Image Processing in C by : Craig A. Lindley

Download or read book Practical Image Processing in C written by Craig A. Lindley and published by Wiley-Interscience. This book was released on 1991-01-16 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: The video digitizer project. Classical image processing. Additional information.