digital pattern recognition (101 résultats)

Hardcover. Etat : Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 1976. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 1976. Ammareal gives back up to 15% of this item's net price to charity organizations.

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Hardcover. Etat : Very Good. 2nd Edition. 2. Corrected and updated Edition; 234 p; 59 Fig. Buch.

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Taschenbuch. Etat : Neu. Neuware -This book is based on the class notes of the course on Digital Image Processing (DIP) given by Prof. Javier Montenegro Joo (JMJ) to Science and Engineering graduate-level students. The algorithms presented in this book include those that the author implements as computer programs when working on Computer Vision, specifically in Automatic Pattern Recognition. The author is a university lecturer and an experienced developer of Science and Engineering Virtual Labs dealing with Physics, Mathematics, DIP, etc. In his software developments the author applies many techniques of mathematical modeling, computer visualization and DIP. JMJ has executed research on invariant pattern recognition, which mainly includes invariant moments, neural networks, and polar Hough transform and, some of those results have been included in this book, which is addressed to university students taking a course on DIP, though it may be used as well by any person desiring to know about DIP and Pattern Recognition. This book includes flowcharts of some DIP algorithms, thus making it ideal for those readers who are inclined to algorithm development and, who would like to develop their own computer programs.Books on Demand GmbH, Überseering 33, 22297 Hamburg 132 pp. Englisch.

Etat : New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Brossura. Etat : nuovo. A cura di / Editors Valentino Sangiorgio and Alessia Amelio. 108pp, illus. EDIFIR. Anno: 2024 -- CARRELLO Arte Restauro Museologia Architettura Storia Saggistica Musica Varia Riviste Architettura VIPERC 3rd International Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding Conference and the special session "The digital transition in architectural engineering" A cura di / Editors Valentino Sangiorgio and Alessia Amelio Anno: 2024 Caratteristiche: 108 pp.* brossura* 17 x 24 cm. *ill. a colori Collana: Architettura, Spazi d'Architettura Volume 18,00 1 AGGIUNGI AL CARRELLO - ADD TO CART Descrizione VIPERC (Visual Pattern Extraction and Recognition for Cultural Heritage) è un evento internazionale e interdisciplinare che riunisce esperti in big data, machine learning, deep learning, modellazione 3D e transizione digitale per la conservazione del patrimonio culturale. Ogni edizione ha avuto un comitato scientifico internazionale e atti pubblicati nei CEUR Workshop Proceedings. VIPERC continua a crescere come punto di riferimento per la ricerca sulla digitalizzazione del patrimonio culturale. VIPERC (Visual Pattern Extraction and Recognition for Cultural Heritage) is an international and interdisciplinary event that brings together experts in big data, machine learning, deep learning, 3D modeling, and digital transition for cultural heritage preservation. Each edition has had an international scientific committee and proceedings published in the CEUR Workshop Proceedings. VIPERC continues to grow as a key reference for research on cultural heritage digitization. Volume in inglese.

Taschenbuch. Etat : Gut. 234 Seiten Sofort verfügbar / Versand sofort nach durchgeführter Zahlungsverifikation / Rechnung mit ausgewiesener MwSt. liegt bei / daily shipping worldwide with invoice / ex library in good condition / aus Bibliothek in guten Zustand/ Sprache: Englisch Gewicht in Gramm: 550.

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Etat : New. In.

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.Paperback. Publisher: Science out.

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.