Image Modeling

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Markov Random Field Modeling in Image Analysis

Author : Stan Z. Li
Publisher : Springer Science & Business Media
ISBN 13 : 1848002793
Total Pages : 372 pages
Book Rating : 4.8/5 (48 download)

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Book Synopsis Markov Random Field Modeling in Image Analysis by : Stan Z. Li

Download or read book Markov Random Field Modeling in Image Analysis written by Stan Z. Li and published by Springer Science & Business Media. This book was released on 2009-04-03 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation. This third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.

Image Modeling

Author : Azriel Rosenfeld
Publisher : Academic Press
ISBN 13 : 1483275604
Total Pages : 460 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Image Modeling by : Azriel Rosenfeld

Download or read book Image Modeling written by Azriel Rosenfeld and published by Academic Press. This book was released on 2014-05-10 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Modeling compiles papers presented at a workshop on image modeling in Rosemont, Illinois on August 6-7, 1979. This book discusses the mosaic models for textures, image segmentation as an estimation problem, and comparative analysis of line-drawing modeling schemes. The statistical models for the image restoration problem, use of Markov random fields as models of texture, and mathematical models of graphics are also elaborated. This text likewise covers the univariate and multivariate random field models for images, stochastic image models generated by random tessellations of the plane, and long crested wave models. Other topics include the Boolean model and random sets, structural basis for image description, and structure in co-occurrence matrices for texture analysis. This publication is useful to specialists and professionals working in the field of image processing.

The Active Image

Author : Sabine Ammon
Publisher : Springer
ISBN 13 : 3319564668
Total Pages : 317 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis The Active Image by : Sabine Ammon

Download or read book The Active Image written by Sabine Ammon and published by Springer. This book was released on 2017-07-10 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The “active image” refers to the operative nature of images, thus capturing the vast array of “actions” that images perform. This volume features essays that present a new approach to image theory. It explores the many ways images become active in architecture and engineering design processes and how, in the age of computer-based modeling, images play an indispensable role. The contributors examine different types of images, be they pictures, sketches, renderings, maps, plans, and photographs; be they analog or digital, planar or three-dimensional, ephemeral, realistic or imaginary. Their essays investigate how images serve as means of representing, as tools for thinking and reasoning, as ways of imagining the inexistent, as means of communicating and conveying information and how images may also perform functions and have an agency in their own. The essays discuss the role of images from the perspective of philosophy, theory and history of architecture, history of science, media theory, cognitive sciences, design studies, and visual studies, offering a multidisciplinary approach to imagery and showing the various methodologies and interpretations in current research. In addition, they offer valuable insight to better understand how images operate and function in the arts and sciences in general.

Statistical Image Processing and Multidimensional Modeling

Author : Paul Fieguth
Publisher : Springer Science & Business Media
ISBN 13 : 1441972943
Total Pages : 465 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Statistical Image Processing and Multidimensional Modeling by : Paul Fieguth

Download or read book Statistical Image Processing and Multidimensional Modeling written by Paul Fieguth and published by Springer Science & Business Media. This book was released on 2010-10-17 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Images are all around us! The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something—an artery, a road, a DNA marker, an oil spill—from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.

Image Modeling of the Human Eye

Author : Rajendra Acharya U
Publisher : Artech House
ISBN 13 : 1596932090
Total Pages : 378 pages
Book Rating : 4.5/5 (969 download)

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Book Synopsis Image Modeling of the Human Eye by : Rajendra Acharya U

Download or read book Image Modeling of the Human Eye written by Rajendra Acharya U and published by Artech House. This book was released on 2008 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking resource gives you full details on state-of-the-art 2D and 3D eye imaging and modeling techniques that are paving the way to breakthrough clinical applications in eye health. ItOCOs the first book to explore in depth a new generation of computational methods that combine image processing, simulation, and statistical discrimination tools in efforts to improve early detection of cataracts, diabetic retinopathy, glaucoma, iridocyclitis, corneal haze, maculopathy, and other visual impairments and conditions."

Image Analysis and Modeling in Ophthalmology

Author : Eddie Y. K. Ng
Publisher : CRC Press
ISBN 13 : 1466559381
Total Pages : 402 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Image Analysis and Modeling in Ophthalmology by : Eddie Y. K. Ng

Download or read book Image Analysis and Modeling in Ophthalmology written by Eddie Y. K. Ng and published by CRC Press. This book was released on 2014-02-11 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital fundus images can effectively diagnose glaucoma and diabetes retinopathy, while infrared imaging can show changes in the vascular tissues. Likening the eye to the conventional camera, Image Analysis and Modeling in Ophthalmology explores the application of advanced image processing in ocular imaging. This book considers how images can be us

Image Models (and their Speech Model Cousins)

Author : Stephen Levinson
Publisher : Springer Science & Business Media
ISBN 13 : 1461240565
Total Pages : 208 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Image Models (and their Speech Model Cousins) by : Stephen Levinson

Download or read book Image Models (and their Speech Model Cousins) written by Stephen Levinson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IMA Volume in Mathematics and its Applications IMAGE MODELS (AND THEIR SPEECH MODEL COUSINS) is based on the proceedings of a workshop that was an integral part of the 1993-94 IMA program on "Emerging Applications of Probability." We thank Stephen E. Levinson and Larry Shepp for organizing the workshop and for editing the proceedings. We also take this opportunity to thank the National Science Foundation, the Army Research Office, and the National Security Agency, whose financial support made the workshop possible. A vner Friedman Willard Miller, Jr. v PREFACE This volume is an attempt to explore the interface between two diverse areas of applied mathematics that are both "customers" of the maximum likelihood methodology: emission tomography (on the one hand) and hid den Markov models as an approach to speech understanding (on the other hand). There are other areas where maximum likelihood is used, some of which are represented in this volume: parsing of text (Jelinek), microstruc ture of materials (Ji), and DNA sequencing (Nelson). Most of the partici pants were in the main areas of speech or emission density reconstruction. Of course, there are many other areas where maximum likelihood is used that are not represented here.

Image-Based Geometric Modeling and Mesh Generation

Author : Yongjie (Jessica) Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 940074255X
Total Pages : 302 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Image-Based Geometric Modeling and Mesh Generation by : Yongjie (Jessica) Zhang

Download or read book Image-Based Geometric Modeling and Mesh Generation written by Yongjie (Jessica) Zhang and published by Springer Science & Business Media. This book was released on 2012-07-03 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: As a new interdisciplinary research area, “image-based geometric modeling and mesh generation” integrates image processing, geometric modeling and mesh generation with finite element method (FEM) to solve problems in computational biomedicine, materials sciences and engineering. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still takes about 80% of the total analysis time and is the major obstacle to reduce the total computation time. It is mainly because none of the traditional approaches is sufficient to effectively construct finite element meshes for arbitrarily complicated domains, and generally a great deal of manual interaction is involved in mesh generation. This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications. This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications. This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications. This contributed volume, the first for such an interdisciplinary topic, collects the latest research by experts in this area. These papers cover a broad range of topics, including medical imaging, image alignment and segmentation, image-to-mesh conversion, quality improvement, mesh warping, heterogeneous materials, biomodelcular modeling and simulation, as well as medical and engineering applications.

Machine Learning and Statistical Modeling Approaches to Image Retrieval

Author : Yixin Chen
Publisher : Springer Science & Business Media
ISBN 13 : 1402080352
Total Pages : 182 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Machine Learning and Statistical Modeling Approaches to Image Retrieval by : Yixin Chen

Download or read book Machine Learning and Statistical Modeling Approaches to Image Retrieval written by Yixin Chen and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well.

Image: An Integrated Model to Assess the Greenhouse Effect

Author : J. Rotmans
Publisher : Springer Science & Business Media
ISBN 13 : 9780792309574
Total Pages : 314 pages
Book Rating : 4.3/5 (95 download)

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Book Synopsis Image: An Integrated Model to Assess the Greenhouse Effect by : J. Rotmans

Download or read book Image: An Integrated Model to Assess the Greenhouse Effect written by J. Rotmans and published by Springer Science & Business Media. This book was released on 1990-08-31 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the result of a research project entitled "Reference function for Global Air Pollution/C0 " initiated by RIVM. It deals with the description 2 of a computer simulation model of the greenhouse effect. This model, IMAGE, tries to capture the fundamentals of the complex problem of climate change in a simplified way. The model is a multidisciplinary product and is based on knowledge from disciplines as economics, atmospheric chemistry, marine and terrestrial biogeochemistry, ecology, climatology, and glaciology. This book might be of interest for anyone working in the broad field of climate change. Furthermore, it can be useful for model builders, simulation experts, mathematicians etc. A PC version of the model will become avail able free of charge. Requests can be sent to the author. Although being the only author of this book, I could never have written it without the help of many other people. First of all I would like to thank Koos Vrieze, originally a colleague at RIVM, later my professor. Without his inspiring attitude I would have never finished this thesis. I am also very grateful to RIVM for giving me the opportunity to write this thesis. lowe many thanks to Hans de Boois and Rob Swart for their support and assis tance during the research. Furthermore, I would like to thank my trainees who have substantially contributed to the contents of this book.

Stochastic Modeling for Medical Image Analysis

Author : Ayman El-Baz
Publisher : CRC Press
ISBN 13 : 1466599081
Total Pages : 284 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Stochastic Modeling for Medical Image Analysis by : Ayman El-Baz

Download or read book Stochastic Modeling for Medical Image Analysis written by Ayman El-Baz and published by CRC Press. This book was released on 2015-11-18 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Modeling for Medical Image Analysis provides a brief introduction to medical imaging, stochastic modeling, and model-guided image analysis. Today, image-guided computer-assisted diagnostics (CAD) faces two basic challenging problems. The first is the computationally feasible and accurate modeling of images from different modalities to obtain clinically useful information. The second is the accurate and fast inferring of meaningful and clinically valid CAD decisions and/or predictions on the basis of model-guided image analysis. To help address this, this book details original stochastic appearance and shape models with computationally feasible and efficient learning techniques for improving the performance of object detection, segmentation, alignment, and analysis in a number of important CAD applications. The book demonstrates accurate descriptions of visual appearances and shapes of the goal objects and their background to help solve a number of important and challenging CAD problems. The models focus on the first-order marginals of pixel/voxel-wise signals and second- or higher-order Markov-Gibbs random fields of these signals and/or labels of regions supporting the goal objects in the lattice. This valuable resource presents the latest state of the art in stochastic modeling for medical image analysis while incorporating fully tested experimental results throughout.

Image Modeling

Author : Lawrence A. Ray
Publisher :
ISBN 13 :
Total Pages : 258 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Image Modeling by : Lawrence A. Ray

Download or read book Image Modeling written by Lawrence A. Ray and published by . This book was released on 1993 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Cognitive Modeling

Author : Jerome R. Busemeyer
Publisher : SAGE
ISBN 13 : 0761924507
Total Pages : 225 pages
Book Rating : 4.7/5 (619 download)

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Book Synopsis Cognitive Modeling by : Jerome R. Busemeyer

Download or read book Cognitive Modeling written by Jerome R. Busemeyer and published by SAGE. This book was released on 2010 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.

Degas and His Model

Author : Alice Michel
Publisher : David Zwirner Books
ISBN 13 : 1941701558
Total Pages : 89 pages
Book Rating : 4.9/5 (417 download)

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Book Synopsis Degas and His Model by : Alice Michel

Download or read book Degas and His Model written by Alice Michel and published by David Zwirner Books. This book was released on 2017-08-22 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many myths about the artist Edgar Degas—from Degas the misanthrope to Degas the deviant, to Degas the obsessive. But there is no single text that better stokes the fire than Degas and His Model, a short memoir published by Alice Michel, who purportedly modeled for Degas. Never before translated into English, the text’s original publication in Mercure de France in 1919, shortly after the artist’s death, has been treated as an important account of the master sculptor at work. We know that Alice was writing under a pseudonym, but who the real person behind this account was remains a mystery—to this day nothing is known about her. Yet, the descriptions seem too accurate to be ignored, the anecdotes too spot-on to discount; even the dialogue captures the artist’s tone and mannerisms. What is found in these pages is at times a woman’s flirtatious recollection of a bizarre “artistic type” and at others a moving attempt to connect with a great, often tragic man. The descriptions are limpid, unburdened; the dialogue is lively and intimate, not unlike reading the very best kind of gossip, with world-historical significance. Here in these dusty studios, Degas is alive, running hands over clay, complaining about his eyes, denigrating the other artists around him, and whispering salaciously to his model. And during his mood swings, we see reflected the model’s innocence and confusion, her pain at being misunderstood and finally rejected. It is an intimate portrait of a moment in a great artist’s life, a sort of Bildungsroman in which his model (whoever she may be) does not emerge unscathed.

Model-based Depth Imaging

Author : Stuart Fagin
Publisher : SEG Books
ISBN 13 : 1560800852
Total Pages : 184 pages
Book Rating : 4.5/5 (68 download)

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Book Synopsis Model-based Depth Imaging by : Stuart Fagin

Download or read book Model-based Depth Imaging written by Stuart Fagin and published by SEG Books. This book was released on 1998 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an informal review of the principle techniques and issues associated with prestack depth imaging. The intended audience for this book would be those seismic interpreters, processors, managers, and explorationists who require basic familiarity with the technology that has so greatly expanded the range of geologic structures that can be successfully imaged. The emphasis of the book is on velocity-model building techniques that are the key to successful depth imaging.

Mathematical Methods in Image Reconstruction

Author : Frank Natterer
Publisher : SIAM
ISBN 13 : 0898716225
Total Pages : 226 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Mathematical Methods in Image Reconstruction by : Frank Natterer

Download or read book Mathematical Methods in Image Reconstruction written by Frank Natterer and published by SIAM. This book was released on 2001-01-01 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a superior understanding of the mathematical principles behind imaging.

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 354040046X
Total Pages : 376 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by : Leszek Rutkowski

Download or read book New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing written by Leszek Rutkowski and published by Springer. This book was released on 2013-03-09 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol ume, based mostly on his own work, is a milestone in the devel opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net works. Neural excitation is stochastic, so it is natural to investi gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.