Описание: This book discusses the computational geometry, topology and physics of digital images and video frame sequences. This trio of computational approaches encompasses the study of shape complexes, optical vortex nerves and proximities embedded in triangulated video frames and single images, while computational geometry focuses on the geometric structures that infuse triangulated visual scenes.The book first addresses the topology of cellular complexes to provide a basis for an introductory study of the computational topology of visual scenes, exploring the fabric, shapes and structures typically found in visual scenes. The book then examines the inherent geometry and topology of visual scenes, and the fine structure of light and light caustics of visual scenes, which bring into play catastrophe theory and the appearance of light caustic folds and cusps. Following on from this, the book introduces optical vortex nerves in triangulated digital images. In this context, computational physics is synonymous with the study of the fine structure of light choreographed in video frames. This choreography appears as a sequence of snapshots of light reflected and refracted from surface shapes, providing a solid foundation for detecting, analyzing and classifying visual scene shapes.
Автор: Joao Tavares; R. M. Natal Jorge Название: Computational Vision and Medical Image Processing ISBN: 9400734204 ISBN-13(EAN): 9789400734203 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of state-of-the-art research, methods and new trends in computational vision and medical image-processing features papers presented to the 2009 VIPIMAGE conference. It will be a major contribution to the development of these knowledge areas.
Автор: Bac Название: Computational Topology in Image Context ISBN: 3319394401 ISBN-13(EAN): 9783319394404 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The die is cast when the malefic King Ajutu realizes that he has been betrayed thrice over on Nkem`s account. With Nkem, Odera, and Namdi deeming they are no longer within easy striking distance of the king, the king charges his goons with the task of silencing them for good. When Nkem, Odera, and Namdi come to terms with what they`re up against, they form a frantic alliance with the king`s twin, Prince Ikuku, and unwittingly the estranged Queen Nena. As they also enlist the help of the Children of the Shadows, will King Ajutu, along with his gentry, become too hot to handle, or will he and his camarilla meet more than their match in the ever-growing alliance? In Children of the Shadows: Firmness of Purpose, the fight for justice and peace, and for the innocent child victims of the supposedly banned Mkpataku ritual reaches boiling point.
Описание: This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval.
Описание: MBIA.- Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm.- An Edge Enhanced SRGAN for MRI Super Resolution in Slice-selection Direction.- Exploring Functional Connectivity Biomarker in Autism Using Group-wise Sparse Representation.- Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding.- Mapping the spatio-temporal functional coherence in the resting brain.- Species-Preserved Structural Connections Revealed by Sparse Tensor CCA.- Identification of Abnormal Cortical 3-hinge Folding Patterns on Autism Spectral Brains.- Exploring Brain Hemodynamic Response Patterns Via Deep Recurrent Autoencoder.- 3D Convolutional Long-short Term Memory Network for Spatiotemporal Modeling of fMRI Data.- Biological Knowledge Guided Deep Neural Network for Genotype-Phenotype Association Study.- Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network.- CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation.- BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes.- Structural Similarity based Anatomical and Functional Brain Imaging Fusion.- Multimodal Brain Tumor Segmentation Using Encoder-Decoder with Hierarchical Separable Convolution.- Prioritizing Amyloid Imaging Biomarkers in Alzheimer's Disease via Learning to Rank.- MFCA.- Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.- 3D mapping of serial histology sections with anomalies using a novel robust deformable registration algorithm.- Spatiotemporal Modeling for Image Time Series with Appearance Change: Application to Early Brain Development.- Surface Foliation Based Brain Morphometry Analysis.- Mixture Probabilistic Principal Geodesic Analysis.- A Geodesic Mixed Effects Model in Kendall's Shape Space.- An as-invariant-as-possible GL+(3)-based Statistical Shape Model.
Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges such as image enhancement, detection of edges and objects, analysis of shape, quantification of texture and sharpness, and pattern analysis. It discusses the archiving and transfer of images, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing. It examines various feature detection and segmentation techniques, together with methods for computing a registration or normalization transformation.
Advances in Computational Techniques for Biomedical Image Analysis: Method and Applications is ideal for researchers and post graduate students developing systems and tools for health-care systems.
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.
Автор: Danail Stoyanov; Zeike Taylor; Francesco Ciompi; Y Название: Computational Pathology and Ophthalmic Medical Image Analysis ISBN: 3030009483 ISBN-13(EAN): 9783030009489 Издательство: Springer Рейтинг: Цена: 9222.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed joint proceedings of the First International Workshop on Computational Pathology, COMPAY 2018, and the 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 19 full papers (out of 25 submissions) presented at COMPAY 2018 and the 21 full papers (out of 31 submissions) presented at OMIA 2018 were carefully reviewed and selected. The COMPAY papers focus on artificial intelligence and deep learning. The OMIA papers cover various topics in the field of ophthalmic image analysis.
Автор: Joao Tavares; R. M. Natal Jorge Название: Advances in Computational Vision and Medical Image Processing ISBN: 904818066X ISBN-13(EAN): 9789048180660 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present book contains extended versions of papers presented in the Conference VIPIMAGE 2007 - ECCOMAS Thematic Conference on Computational Vision and Medical Image. This ECCOMAS thematic conference was on computational vision and medical image processing.
Автор: Lukac R. Название: Computational Photography ISBN: 1439817499 ISBN-13(EAN): 9781439817490 Издательство: Taylor&Francis Рейтинг: Цена: 27562.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Details advances in computational photography, their applications, and specific research challenges. This text begins with computational photography fundamentals and computational cameras, followed by a discussion of computational photography approaches across a broad spectrum of imaging applications.
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.
Автор: Amitava Chatterjee; Patrick Siarry Название: Computational Intelligence in Image Processing ISBN: 364243164X ISBN-13(EAN): 9783642431647 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers comprehensive coverage of computational intelligence techniques applied to image processing applications. It provides a unified view of the modern computational intelligence tech-niques required to solve real-world problems.
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