Parallel Image Analysis Tools And Models
Download Parallel Image Analysis Tools And Models full books in PDF, epub, and Kindle. Read online free Parallel Image Analysis Tools And Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Serge Miguet |
| Publisher | : World Scientific |
| Total Pages | : 142 |
| Release | : 1998-05-05 |
| Genre | : Computers |
| ISBN | : 9814496197 |
This book contains a selection of papers presented at the Fourth International Workshop on Parallel Image Analysis, held at the Laboratoire de l'Informatique du Parallélisme of the Ecole Normale Supérieure de Lyon, France. It is representative of the traditional topics of the workshop, from theoretical models for parallel image analysis to real life applications implemented on parallel multicomputers.
| Author | : Serge Miguet |
| Publisher | : |
| Total Pages | : 134 |
| Release | : 1997 |
| Genre | : |
| ISBN | : |
| Author | : Michael A. Heroux |
| Publisher | : SIAM |
| Total Pages | : 421 |
| Release | : 2006-01-01 |
| Genre | : Computers |
| ISBN | : 9780898718133 |
Parallel processing has been an enabling technology in scientific computing for more than 20 years. This book is the first in-depth discussion of parallel computing in 10 years; it reflects the mix of topics that mathematicians, computer scientists, and computational scientists focus on to make parallel processing effective for scientific problems. Presently, the impact of parallel processing on scientific computing varies greatly across disciplines, but it plays a vital role in most problem domains and is absolutely essential in many of them. Parallel Processing for Scientific Computing is divided into four parts: The first concerns performance modeling, analysis, and optimization; the second focuses on parallel algorithms and software for an array of problems common to many modeling and simulation applications; the third emphasizes tools and environments that can ease and enhance the process of application development; and the fourth provides a sampling of applications that require parallel computing for scaling to solve larger and realistic models that can advance science and engineering.
| Author | : Tony F. Chan |
| Publisher | : SIAM |
| Total Pages | : 414 |
| Release | : 2005-09-01 |
| Genre | : Computers |
| ISBN | : 089871589X |
This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.
| Author | : Mohamed Cheriet |
| Publisher | : World Scientific |
| Total Pages | : 294 |
| Release | : 1999 |
| Genre | : Computers |
| ISBN | : 9789812797629 |
This volume contains selected papers presented at Vision Interface 1998, held in Vancouver, Canada, in June 1998. It spans a wide spectrum of topics in computer vision and image processing. The field of computer vision and image processing has grown at a phenomenal rate due to the development of innovative techniques coupled with the advance in hardware that have been made available at lower cost. Numerous practical applications are now being realized to justify the theme of Vision Interface 1998 - Real World Applications of Computer Vision.
| Author | : M. Emre Celebi |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 208 |
| Release | : 2012-09-16 |
| Genre | : Technology & Engineering |
| ISBN | : 9400753888 |
Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.
| Author | : L. S. Davis |
| Publisher | : World Scientific |
| Total Pages | : 260 |
| Release | : 1996 |
| Genre | : Technology & Engineering |
| ISBN | : 9789810224769 |
This volume deals with the following topics: 2-D, 3-D automata and grammars, parallel architecture for image processing, parallel digital geometry algorithms, data allocation strategies for parallel image processing algorithms, complexity analysis of parallel image operators. The contributions are written by leading experts in the fields of models, algorithms and architectures for parallel image processing.
| Author | : Jun Shen |
| Publisher | : World Scientific |
| Total Pages | : 135 |
| Release | : 2001-06-04 |
| Genre | : Computers |
| ISBN | : 981449125X |
Contents:Introduction (J Shen et al.)3D Articulated Object Understanding, Learning, and Recognition from 2D Images (P S P Wang)On Geometric and Orthogonal Moments (J Shen et al.)Multispectral Image Processing: The Nature Factor (W R Watkins)Detection of Sea Surface Small Targets in Infrared Images Based on Multilevel Filter and Minimum Risk Bayes Test (Y-S Moon et al.)Minimum Description Length Method for Facet Matching (S Maybank & R Fraile)An Integrated Vision System for ALV Navigation (X Ye et al.)Fuzzy Bayesian Networks — A General Formalism for Representation, Inference and Learning with Hybrid Bayesian Networks (H Pan & L Liu)Extraction of Bibliography Information Based on Image of Book Cover (H Yang et al.)Radar Target Recognition Based on Parameterized High Resolution Range Profiles (X Liao & Z Bao) Readership: Computer scientists and electrical engineers. Keywords:
| Author | : E. R. Davies |
| Publisher | : World Scientific |
| Total Pages | : 314 |
| Release | : 2000 |
| Genre | : Computers |
| ISBN | : 9789810240226 |
This monograph provides detailed background on the image processing problems encountered in the food industry when automatic control and inspection systems are being designed and installed. It starts with a careful study of image processing and machine vision methodology, and then goes on to analyse how this can be applied in the main areas of food processing and production. A case study approach is used to give relevance to the work, making the book user-friendly. This book will help the food industry to observe 'due diligence', and researchers to be more aware of the problems of analysing images of food products.
| Author | : Sanjay Saxena |
| Publisher | : CRC Press |
| Total Pages | : 337 |
| Release | : 2022-07-07 |
| Genre | : Computers |
| ISBN | : 1000410374 |
The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding parallelism in different image processing techniques. A comprehensive review of parallel algorithms in medical image processing problems is a key feature of this book. The volume presents the relevant theoretical frameworks and the latest empirical research findings in the area and provides detailed descriptions about the diverse high-performance techniques. Topics discussed include parallel computing, multicore architectures and their applications in image processing, machine learning applications, conventional and advanced magnetic resonance imaging methods, hyperspectral image processing, algorithms for segmenting 2D slices for 3D viewing, and more. Case studies, such as on the detection of cancer tumors, expound on the information presented. Key features: Provides descriptions of different medical imaging modalities and their applications Discusses the basics and advanced aspects of parallel computing with different multicore architectures Expounds on the need for embedding data and task parallelism in different medical image processing techniques Presents helpful examples and case studies of the discussed methods This book will be valuable for professionals, researchers, and students working in the field of healthcare engineering, medical imaging technology, applications in machine and deep learning, and more. It is also appropriate for courses in computer engineering, biomedical engineering and electrical engineering based on artificial intelligence, parallel computing, high performance computing, and machine learning and its applications in medical imaging.
