digital image pattern recognition (31 résultats)

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Softcover. Etat : gut. 4. Auflage / 4th edition. Design, structure and implementation of image and speech analysis systems - Digital filters, edge detection, image segmentation - Feature extraction from speech signals and classification - Fourier transform, image and speech compression - Introduction to C, C++ - Classes, inheritance and polymorphism Dietrich Paulus is a professor in computational visualistics at University Koblenz-Landau. Since over a decade he teaches image processing and programming languages. Joachim Hornegger is working for Siemens Medical Solutions, Inc. and the director of medical image processing. He is also a lecturer at the University of Mannheim teaching courses on medical image processing, discrete tomography, and 3D computer vision. From the contents: Design, structure and implementation of image and speech analysis systems - Digital filters, edge detection, image segmentation - Feature extraction from speech signals and classification - Fourier transform, image and speech compression - Introduction to C, C++ - Classes, inheritance and polymorphism Bildverarbeitung C++ Programmiersprache Efficient Algorithms Informatik EDV Image Processing Inheritance Mustererkennung Pattern Analysis pattern recognition Program Design programming regognition software development Speech processing Spracherkennung statistical pattern recognition ISBN-10 3-528-35558-1 / 3528355581 ISBN-13 978-3-528-35558-6 / 9783528355586 978-3528355586 Ein ganz großer Vorteil dieses Buches ist, dass die Thematik nicht nur auf einer abstrakten Ebene beschrieben wird, sondern dass im Buch immer wieder die Umsetzung der Aussagen in C++ gezeigt wird. neben einer Einführung in C++ werden die Algorithmen und Techniken immer wieder auch als Programm vorgestellt. Dadurch wird der Schritt von der Theorie - das heißt, dem als mathematische Formel beschriebenen Algorithmus - hin zur Praxis (dem Computerprogramm) durchgängig." Elektronik This book demonstrates the efficiency of the C++ programming language in the realm of pattern recognition and pattern analysis. For this 3rd edition, new features of the C++ language were integrated and their relevance for image and speech processing is discussed. The description of the STL library was extended and STL is now used in many places in the book. The chapters 23 and 24 can now be used to build complete systems and give hints for further extensions.The book is divided into 4 parts. After an introduction to programming and software engineering, the required basics of image and speech processing are given. Statistics and mathematics is explained as required. The second part treats C++ as an object-oriented language and introduces it thru examples. In the third part the examples of the first and second part are combined to form an image segmentation and a word recognition system. All relevant features of the C++ language are thus introduced with direct relation to the tasks in image and speech processing. "Die Behandlung der C++-Konstukte ist wirklich anwendungsnah." Prof. Dr. Michael Schenke, FH Merseburg "// sehr umfassend - anschaulich, klar, gut nachvollziehbar." Prof. Dr.-Ing. Hans Peter Kölzer, HAW Hamburg "Dieses Buch werde ich meinen Studenten empfehlen, weil es einen sehr anschaulichen und motivierenden Einstieg in die Mustererkennung bietet." Prof. Dr. Hans-Peter Weber, FH Darmstadt Concerning 3rd edition: "This book is a beautifully arranged marriage of state-of-the-art pattern recognition theory and of programming theory and practice. The elegant and thorough treatment of modern aspects of speech and video processing and interpretation springs to life through a multitude of well-designed case studies and concrete examples." Carlo Tomasi, Prof. of Computer Science, Duke University, USA "This book is a must for learners of practical image processing. The examples are well explained and cover the needs of a graduate image processing or pattern recognition course." Laszlo Csink, Prof. of Computer Science, Budapest Polytechnic John von Neumann Faculty of Informatics, Hungary "I am not aware of a book comparable to this one which gives an excellent combination of an account of relevant topics in pattern recognition as well as of techniques for implementing the equations and algorithms in C++. Therefore, the book is invaluable both to students starting in the field and and to practitioners needing a special algorithm and its implementation." H. Niemann, Prof. of Computer Science, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany "// this book has been the perfect source for my students and me. Not only that the reader is elegantly and in a straightforward manner guided to the central points of the theory, but in parallel the authors also make it transparent how to implement the algorithms resulting from the theory." Volkmar Welker, Prof. of Discrete Mathematics, University of Marburg, Germany Bildverarbeitung C++ Programmiersprache Efficient Algorithms Informatik EDV Image Processing Inheritance Mustererkennung Pattern Analysis pattern recognition Program Design programming software development Speech processing Spracherkennung statistical pattern recognition Applied Pattern Recognition A Practical Introduction to Image and Speech Processing in C++ Joachim Hornegger Dietrich W. R. Paulus Bildbearbeitung Bildverarbeitung Grafik EDV C++ Theorie Software-Entwicklung Mustererkennung Spracherkennung Vieweg+Teubner Bildverarbeitung C++ Programmiersprache Efficient Algorithms Informatik EDV Image Processing Inheritance Mustererkennung Pattern Analysis pattern recognition Program Design programming software development Speech processing Spracherkennung statistical pattern recognition ISBN-10 3-528-35558-1 / 3528355581 ISBN-13 978-3-528-35558-6 / 9783528355586 In englischer Sprache. 372 pages. 23,9 x 16,3 x 2 cm.

paperback. Etat : New. Language:Chinese.Paperback. Publisher: Beijing Institute of Technology.

paperback. Etat : New. Language:Chinese.Digital image pattern recognition software engineering design Water Power Press .Research (Figure).

paperback. Etat : New. Language:Chinese.Paperback. Publisher: China Water Water.

paperback. Etat : New. Pub Date :2007-07-01 Pages: 276 Publisher: Beijing Institute of Technology Press book the universities undergraduate and graduate digital image processing and pattern recognition technology materials. Including image transformation. enhancement. restoration. coding. analysis and recognition. also stingy modern and advanced image processing technology. such as three-dimensional visualization. blind signal processing. Simulation of random genetic and evolutionary algorithms. intelligent pattern.

paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2012-07-01 Pages: 547 Publisher: the basic information title of Machinery Industry Press book edge kc11.21: Visual C + + digital image pattern recognition typical case Xiangjie (with CD-ROM) List Price: 79.00 yuan Author: Fung Wai Hing Publisher: China Machine Press Publication Date: July 1. 2012 ISBN: 9787111389194 words: Pages: 547 Edition: 1st Edition Binding: Paperback: Weight: 962 g Editor's Choice Visual C + + digital image pattern recognition typical Case Detailed informative. clear structure. clear diagrams to explain the thorough. rich and practical case. allows the reader to quickly and comprehensively grasp the variety of applications of digital image pattern recognition technology. It not only as a the universities digital image pattern recognition related disciplines textbooks. but also can be used as engineering and technical personnel and readers self-study reference books. Summary Visual C + + digital image pattern recognition typical case Detailed Detailed digital image pattern recognition typical case. the book is divided into three 14 chapters. the first chapter introduces the basics of digital image pattern recognition Classical methods; second sub-10 chapter describes the case of a typical digital image pattern recognition: from different angles and then the third comprehensive system introduced two digital image pattern recognition case design idea and its realization process. Visual C + + digital image pattern recognition typical case Detailed to break the traditional programming books explain. programming ideas and programming process with the attached code organic combination of hierarchical sub-modules to be to explain. Graphically explain the program to run the process and results. and with the appropriate text instructions. so that the reader quickly understand about the content. Of Contents Preface Chapter 1 of the Basics digital image pattern recognition 1.1 Digital Image Processing Overview 1.1.1 digital image acquisition 1.1.2 image display and storage 1.1.3 digital image files 1.1.4 Digital Image Processing 1.2 Pattern Recognition basic concepts 1.2 the composed 1.2.4 1.2.2 .1 mode and the concept of pattern recognition mode space. feature space and class space 1.2.3 pattern recognition system digital image pattern recognition basic process 1.3Visua1C of + + digital image processing class 1.3.1Visua1c + + programming methods 1.3. 2Visua1c + + Chapter 2. digital image processing. pattern recognition method 2.1 Statistical Pattern Recognition 2.1.1 feature extraction and selection 2.1.2 Pattern Classification 2.1.3 mode clustering 2.2 classic pattern recognition decision and 2.2.1 Artificial Neural Network 2.2 .2 Hidden Markov Models 2.2.3 Decision Tree 2.2.4 template matching the 2.2.5 support vector machine second case. Chapter 3. one-dimensional bar code identification system. 3.1 3.2 core technology principle 3.2.1 barcode encoding Rule 3.2.2 pretreatment process - Binarization 3.2.3 decoding process - average method 3.3 system structure and the overall process 3.3.1 system the structure 3.3.2Z value to the average value method of algorithm flow 3.3.3 algorithm processes 3.4 programming 3.4.1 binarization algorithm 3.4.2 Chapter 4 of the 3.5 run effect of the average method extracted system based on fuzzy clustering pattern recognition system 4.1 Introduction 4.2 core technology principle of the identity and characteristics of the image 4.2.1 4.2.2 mode 4.2.4 Fuzzy clustering analysis of the basic concepts of measurement 4.2.3 Fuzzy Theory 4-3 system structure and process 4.3.1 System Architecture 4.3.2 image identification and feature extraction algorithm processes 4.3.3 calculate the fuzzy distance algorithm processes 4.3.4 4.4 programming fuzzy clustering algorithm processes the 4.4.1 image identification and feature extraction distance 4.4.3 4.4.2 calculate fuzzy fu.

paperback. Etat : New. Paperback. Pub Date :2014-03-01 Pages: 378 Language: Chinese Publisher: Southwest Jiaotong University Press. digital image pattern recognition research project From the perspective of engineering applications. systematic introduction to digital image pattern recognition Research Project Packages frame design involves. digital image processing. feature definition. theoretical methods and combinations of classifier training and source design techniques to design a way to explain the examples in.

paperback. Etat : New. Paperback. Pub the Date: September. 2010 Pages: 330 Language: Chinese in Publisher: Machinery Industry Press. Visual C + + digital image pattern recognition technology Xiangjie 11 chapters: Introduction. Visual C + + basis of digital image processing. image features. statistics pattern recognition. pattern recognition decision. as well as face detection feature location. car license plate recognition and diagnosis of medical images of the brain. printed Chinese character recognition. handwrit.

paperback. Etat : New. Pub Date: 2013 Publisher: China Machine Press Visual C + + digital image pattern recognition technology to explain (2nd Edition) regulations clear. systematic and comprehensive. easy-to-digest instance boot. close to the practical for the purpose of the basic flow of the digital image pattern recognition technology. with examples to explain in detail the basic concepts. theory. and several typical practice and application. informative. practical. with emphasis on how to develop new code to en.

paperback. Etat : New. Paperback. Pub Date: 2008 Pages: 450 Language: Chinese in Publisher: People's Posts and Telecommunications Press book pattern recognition and artificial intelligence in some of the basic theory. as well as some related models. including Bayesian decision linear discriminant function. neural network theory. hidden Markov models. clustering technology. combined with some of the problems in pattern recognition. such as character recognition. handwriting identification. face detection. license pl.

paperback. Etat : New. Language:Chinese.Pages Number: 242 Publisher: Science Pub. Date :2011-09-01 version 1 Wang Xuan. MA Jian-feng edited the digital image analysis and pattern recognition. a collection of recent years in image processing. image analysis and recognition of the latest research the results. Main contents are: image processing and analysis related to the basic theory and simulation matlab programming methods; image analysis preprocessing. including image denoising. edge detection and image segmentat.