Practical Image Processing In C

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Practical Image Processing In C

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Author : Craig A. Lindley
language : en
Publisher: Wiley-Interscience
Release Date : 1991-01-16

Practical Image Processing In C written by Craig A. Lindley and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-01-16 with Computers categories.

The video digitizer project. Classical image processing. Additional information.

A Concise Introduction To Image Processing Using C

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Author : Meiqing Wang
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2008-11-20

A Concise Introduction To Image Processing Using C written by Meiqing Wang and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-20 with Technology & Engineering categories.

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, conservation, processing, and manipulation, allowing you to easily apply these techniques in real-world problems. The book presents state-of-the-art image processing methodology, including current industrial practices for image compression, image de-noising methods based on partial differential equations (PDEs), and new image compression methods, such as fractal image compression and wavelet compression. It begins with coverage of representation, and then moves on to communications and processing. It concludes with discussions of processing techniques based on image representations and transformations developed in earlier chapters. The accompanying CD-ROM contains code for all algorithms. Suitable as a text for any course on image processing, the book can also be used as a self-study resource for researchers who need a concise and clear view of current image processing methods and coding examples. The authors introduce mathematical concepts with rigor suitable for readers with some background in calculus, algebra, geometry, and PDEs. All algorithms described are illustrated with code implementation and many images compare the results of different methods. The inclusion of C++ implementation code for each algorithm described enables students and practitioners to build up their own analysis tool.

Feature Extraction And Image Processing

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Author : Mark Nixon
language : en
Publisher: Elsevier
Release Date : 2013-10-22

Feature Extraction And Image Processing written by Mark Nixon and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-22 with Computers categories.

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. - Ideal module text for courses in artificial intelligence, image processing and computer vision - Essential reading for engineers and academics working in this cutting-edge field - Supported by free software on a companion website

Pattern Recognition And Image Processing In C

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Author : Dietrich Paulus
language : en
Publisher: Vieweg+Teubner Verlag
Release Date : 2012-12-06

Pattern Recognition And Image Processing In C written by Dietrich Paulus and has been published by Vieweg+Teubner Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.

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.

Image Processing In C

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Author : Dwayne Phillips
language : en
Publisher:
Release Date : 1995

Image Processing In C written by Dwayne Phillips and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.

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.

Introduction To Image Processing Using R

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Author : Alejandro C. Frery
language : en
Publisher: Springer
Release Date : 2013-02-07

Introduction To Image Processing Using R written by Alejandro C. Frery and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-07 with Computers categories.

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.

Practical Algorithms For Image Analysis With Cd Rom

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Author : Lawrence O'Gorman
language : en
Publisher: Cambridge University Press
Release Date : 2008-01-21

Practical Algorithms For Image Analysis With Cd Rom written by Lawrence O'Gorman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-21 with Computers categories.

This new edition's CD-ROM now has both the source code, and a graphic interface to make it easier to use.

Applied Pattern Recognition

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Author : Dietrich W.R. Paulus
language : en
Publisher: Morgan Kaufmann Publishers
Release Date : 1998

Applied Pattern Recognition written by Dietrich W.R. Paulus and has been published by Morgan Kaufmann Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. It introduces the basics of software engineering, image and speech processing, als well as fundamental mathematical tools for pattern recognition. Step by step the C++ programming language is discribed. Each step is illustrated by examples based on challenging problems in image und speech processing. Particular emphasis is put on object-oriented programming and the implementation of efficient algorithms. The book proposes a general class hierarchy for image segmentation. The essential parts of an implementation are presented. An object-oriented system for speech classification based on stochastic models is described.

Practical Computer Vision Using C

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Author : J. R. Parker
language : en
Publisher: Wiley
Release Date : 1993-11-11

Practical Computer Vision Using C written by J. R. Parker and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-11-11 with Computers categories.

A straightforward, practical examination of the fundamentals of computer vision using a minimum of mathematics. Concentrates on explanation, illustration, implementation and the various types of vision imaging problems including grey-level images, recognizing objects, computer readable codes, scientific images, etc. Contains authentic examples in C from a variety of disciplines as well as immediate access to images with which users can test ideas and software.

Feature Extraction And Image Processing For Computer Vision

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Author : Mark Nixon
language : en
Publisher: Academic Press
Release Date : 2012-12-18

Feature Extraction And Image Processing For Computer Vision written by Mark Nixon and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-18 with Computers categories.

Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms." Fully updated with the latest developments in feature extraction, including expanded tutorials and new techniques, this new edition contains extensive new material on Haar wavelets, Viola-Jones, bilateral filtering, SURF, PCA-SIFT, moving object detection and tracking, development of symmetry operators, LBP texture analysis, Adaboost, and a new appendix on color models. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. - Named a 2012 Notable Computer Book for Computing Methodologies by Computing Reviews - Essential reading for engineers and students working in this cutting-edge field - Ideal module text and background reference for courses in image processing and computer vision - The only currently available text to concentrate on feature extraction with working implementation and worked through derivation