Image Representation and Processing, V.V. Alexandrov; Gorsky
Автор: Parker J J Название: Algorithms for Image Processing and Computer Vision ISBN: 0470643854 ISBN-13(EAN): 9780470643853 Издательство: Wiley Рейтинг: Цена: 12514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images. Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.
Описание: The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings.Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
Описание: The proceedings includes cutting-edge research articles from the Fourth International Conference on Signal and Image Processing (ICSIP), which is organised by Dr. N.G.P.
Описание: This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics – reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing. The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques – non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection. The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches – extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed. Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets.
Описание: The proceedings includes cutting-edge research articles from the Fourth International Conference on Signal and Image Processing (ICSIP), which is organised by Dr. N.G.P.
Автор: Srivastava, Singh & Shukla Название: Research Developments In Computer Vision And Image Processing ISBN: 146664558X ISBN-13(EAN): 9781466645585 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Similar to the way in which computer vision and computer graphics act as the dual fields that connect image processing in modern computer science, the field of image processing can be considered a crucial middle road between the vision and graphics fields. <br><br><em>Research Developments in Computer Vision and Image Processing: Methodologies and Applications</em> brings together various research methodologies and trends in emerging areas of application of computer vision and image processing. This book is useful for students, researchers, scientists, and engineers interested in the research developments of this rapidly growing field.
Автор: Thomas Lindblad; Jason M. Kinser Название: Image Processing using Pulse-Coupled Neural Networks ISBN: 3642440339 ISBN-13(EAN): 9783642440335 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.
Описание: Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 2000, at Xerox PARC, Palo Alto, California. It provides a broad sampling of the most recent theoretical and practical developments of mathematical morphology and its applications to image and signal processing.
Areas covered include: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, morphological shape analysis and interpolation, texture analysis, morphological segmentation, morphological multiresolution techniques and scale-spaces, and morphological algorithms and applications. Audience: The subject matter of this volume will be of interest to electrical engineers, computer scientists, and mathematicians whose research work is focused on the theoretical and practical aspects of nonlinear signal and image processing. It will also be of interest to those working in computer vision, applied mathematics, and computer graphics.
Описание: Spline and Spline Wavelet Methods with Applications to Signal and Image Processing Vol. II
Автор: Thomas Lindblad; Jason M. Kinser Название: Image Processing using Pulse-Coupled Neural Networks ISBN: 364236876X ISBN-13(EAN): 9783642368769 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book reviews the neural theory and translates them into digital models. It gives applications in image recognition, foveation, image fusion and information extraction, and includes Python scripts that help readers replicate results presented in the text.
Описание: This volume provides universal methodologies accompanied by Matlab software to manipulate numerous signal and image processing applications. SHA reduces the design of different spline types such as splines, spline wavelets (SW), wavelet frames (SWF) and wavelet packets (SWP) and their manipulations by simple operations.
Автор: Jo?o Manuel R. S. Tavares; Renato Natal Jorge Название: Developments in Medical Image Processing and Computational Vision ISBN: 331913406X ISBN-13(EAN): 9783319134062 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- On the evaluation of automated MRI brain segmentations: technical and conceptual tools, by Elisabetta Binaghi, Valentina Pedoia, Desiree Lattanzi, Emanuele Monti, Sergio Balbi, Renzo Minotto.- Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography, by J. Odstrcilik, R. Kolar, R.P. Tornow, A. Budai, J. Jan, P. Mackova, M. Vodakova.- Continuum mechanics meets echocardiographic imaging: investigation on the principal strain lines in human left ventricle, by A. Evangelista, S. Gabriele, P. Nardinocchi, P. Piras, P.E. Puddu, L. Teresi, C. Torromeo, V. Varano.- A GPU accelerated algorithm for blood detection in wireless capsule endoscopy images, by Sunil Kumar, Isabel N. Figueiredo, Carlos Graзa, Gabriel Falcгo.- Automated image mining in fMRI Reports: a meta-research study, by N. Gonзalves, G. Vranou, R. Vigбrio.- Visual pattern recognition framework based on the best rank tensor decomposition, by B. Cyganek.- Tracking red blood cells flowing through a microchannel with a hyperbolic contraction: an automatic method, by B. Taboada, F. C. Monteiro, R. Lima.- A 3D computed tomography based tool for orthopedic surgery planning, by Joгo Ribeiro, Victor Alves, Sara Silva, Jaime Campos.- Preoperative planning of surgical treatment with the use of 3D visualization and finite element method, by Wolański Wojciech, Gzik-Zroska Bożena, Kawlewska Edyta, Gzik Marek, Dzielicki Jуzef, Larysz Dawid, Rudnik Adam.- Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for a structural analysis with FEA, by Joгo Paulo O. Freitas, Edson A. Capello de Sousa, Cesar R. Foschini, Rogerio R. Santos, Sheila C. Rahal.- Tortuosity influence on the trabecular bone elasticity and mechanical competence, by Waldir Leite Roque, Angel Alberich-Bayarri.- Influence of beam hardening artifact in bone interface contact evaluation by 3D X-ray microtomography, by I. Lima, M. Marquezan, M. M. G. Souza, E. F. Sant'Anna, R. T. Lopes.- Anisotropy estimation of trabecular bone in gray-scale: comparison between cone beam and micro computed tomography data, by Rodrigo Moreno, Magnus Borga, Eva Klintstrцm, Torkel Brismar, Цrjan Smedby.- Fractured bone identification from CT images, fragment separation and fracture zone detection, by Fйlix Paulano, Juan J. Jimйnez, Rubйn Pulido.- On evolutionary integral models for image restoration, by E. Cuesta, A. Durбn, M. Kirane.- Colour image quantisation using KM and KHM clustering techniques with outlier-based initialization, by Henryk Palus, Mariusz Frackiewicz.- A study of a firefly meta-heuristics for multithreshold image segmentation, by H. Erdmann, G. Wachs-Lopes, C. Gallгo, M. P. Ribeiro, P. S. Rodrigues.- Visual-inertial 2D feature tracking based on an affine photometric model, by Dominik Aufderheide, Gerard Edwards and Werner Krybus.- Inferring heading direction from silhouettes, by Amina Bensebaa, Slimane Larabi, Neil M. Robertson.- A fast and accurate algorithm for detecting and tracking moving hand gestures, by Walter C. S. S. Simхes, Ricardo da S. Barboza, Vicente F. de Lucena Jr., Rafael D. Lins.- Hand gesture recognition system based in computer vision and machine learning, by Paulo Trigueiros, Fernando Ribeiro, Luнs Paulo Reis.- 3D Scanning using RGBD imaging devices: a survey, by Eduardo E. Hitomi, Jorge V. L. Silva, Guilherme C. S. Ruppert.
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