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Advances in Digital Image Processing and Information Technology First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, Tirunelveli, Tamil Nadu, India, September 23-25, 2011. Proceedings / par Nagamalai, Dhinaharan. Publication : Berlin, Heidelberg : Springer Berlin Heidelberg : | Springer e-books : | Imprint: Springer : | Springer e-books, 2011 . 1 online resource. Date : 2011 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Applications of pulse-coupled neural networks par Ma, Yide. Publication : [S.l.] Springer 2010 . 199 p. , "Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Computer vision and action recognition a guide for image processing and computer vision community for action understanding par Ahad, Md. Atiqur Rahman. Publication : Amsterdam | Paris Atlantis Press. 2011 . xxi, 211 pages 24 cm. Date : 2011 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Image processing and pattern recognition : fundamentals and techniques par Shih, Frank Y. Publication : [S.l.] Wiley-IEEE Press 2010 . 552 p. , A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Image Recognition and Classification: Algorithms, Systems, and Applications. Vol. 78 par Javidi, Bahram, Publication : Boca Raton : | Florence : C R C Press LLC | Taylor & Francis Group [distributor] 2002 . 1 online resource (520 pages) Date : 2002 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Machine learning for multimedia content analysis par Gong,, Yihong. Publication : [S.l.] Springer 2010 . 277 p. , This volume introduces machine learning techniques that are particularly powerful and effective for modeling multimedia data and common tasks of multimedia content analysis. It systematically covers key machine learning techniques in an intuitive fashion and demonstrates their applications through case studies. Coverage includes examples of unsupervised learning, generative models and discriminative models. In addition, the book examines Maximum Margin Markov (M3) networks, which strive to combine the advantages of both the graphical models and Support Vector Machines (SVM). 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Pattern Recognition. par Theodoridis, Sergios. Publication : Burlington : Elsevier, 2008 . 1 online resource (981 pages) Date : 2008 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Template matching techniques in computer vision : theory and practice / par Brunelli, Roberto, Publication : Chichester, U.K. : Wiley, 2009 . x, 338 pages : 25 cm Date : 2009 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Vision with direction : a systematic introduction to image processing and computer vision par Bigun, Josef. Publication : [S.l.] Springer 2010 . 396 p. , This introductory textbook presents the modern signal processing concepts used in computer vision and image analysis in a systematic and mathematically coherent way. For the first time in a textbook on image processing, single direction, group direction, corners and edges, Hough transform, and motion estimation are developed in a principled way using direction tensors as the unifying concept. The topics presented include Hilbert spaces, the Fourier transform, scale analysis, direction fields, structure tensors, motion tensors, the Hough transform, grouping, and segmentation. Directional signal processing, an increasingly crucial element of computer vision for which neural circuits exist in human vision, is dealt with in depth by use of tensors. All chapters are richly illustrated, with color graphics from cover to cover; applications are studied in various fields, including biometric person authentication, texture analysis, optical character recognition, and motion estimation and tracking; and exercises help the sudent verify progress. Developed out of courses given by the author, this introductory textbook addresses advanced undergarduates as well as master and PhD students in computer science, engineering, mathematics, and in other disciplines where techniques from computer vision, image processing, visual computation and signal analysis are applied. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

Evolutionary Synthesis of Pattern Recognition Systems / par Bhanu, Bir. Publication : . XXIV, 296 pages , Description based upon print version of record. Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (2),

Pattern recognition in industry / par Bhagat, Phiroz. Publication : . 1 online resource (xix, 180 pages) : Disponibilité :  http://www.sciencedirect.com/science/book/9780080445380,

Pattern recognition for medical imaging / par Meyer-Bäse, Anke. Publication : . 1 online resource (xxii, 386 pages) : Disponibilité :  http://www.sciencedirect.com/science/book/9780124932906,

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