Statistical Issues in Texture Analysis PDF Download

Author: Elizaveta Levina
Publisher:
ISBN:
Category :
Languages : en
Pages : 230

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Author: Majid Mirmehdi
Publisher: World Scientific
ISBN: 1848161158
Category : Computers
Languages : en
Pages : 424

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Book Description
Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications.Currently, the main approaches to texture analysis must be sought out through a variety of research papers. This collection of chapters brings together in one handy volume the major topics of importance, and categorizes the various techniques into comprehensible concepts. The methods covered will not only be relevant to those working in computer vision, but will also be of benefit to the computer graphics, psychophysics, and pattern recognition communities, academic or industrial.

Author: Chi Hau Chen
Publisher: World Scientific
ISBN: 9814497649
Category : Computers
Languages : en
Pages : 1045

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Book Description
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.

Author: Jianqing Fan
Publisher: Springer Science & Business Media
ISBN: 1461455448
Category : Mathematics
Languages : en
Pages : 626

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Book Description
This volume presents selections of Peter J. Bickel’s major papers, along with comments on their novelty and impact on the subsequent development of statistics as a discipline. Each of the eight parts concerns a particular area of research and provides new commentary by experts in the area. The parts range from Rank-Based Nonparametrics to Function Estimation and Bootstrap Resampling. Peter’s amazing career encompasses the majority of statistical developments in the last half-century or about about half of the entire history of the systematic development of statistics. This volume shares insights on these exciting statistical developments with future generations of statisticians. The compilation of supporting material about Peter’s life and work help readers understand the environment under which his research was conducted. The material will also inspire readers in their own research-based pursuits. This volume includes new photos of Peter Bickel, his biography, publication list, and a list of his students. These give the reader a more complete picture of Peter Bickel as a teacher, a friend, a colleague, and a family man.

Author: Trevor Hastie
Publisher: Springer Science & Business Media
ISBN: 0387848584
Category : Computers
Languages : en
Pages : 757

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Book Description
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.

Author: Donghui Yan
Publisher:
ISBN:
Category :
Languages : en
Pages : 338

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Author: Sreeramamurthy Ankem
Publisher: John Wiley & Sons
ISBN: 1118788508
Category : Technology & Engineering
Languages : en
Pages : 397

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Book Description
The International Symposium was organized to capture the state of our knowledge on the science and technology of interfaces. The Symposium (in honor of Dr. B. B. Rath) was held during the TMS Annual meeting, Feb 17-21, 2002 at Seattle WA. This volume captures the salient papers presented at the symposium. The symposium was sponsored by the Structural Materials Division and the Electronic, Magnetic & Photonic Materials Division of TMS and the Materials Science Critical Technology Sector of ASM International and in particular by the following committees: the Physical Metallurgy Committee (TMS), the Superconducting Materials Committee (TMS), the Titanium Committee (TMD) and the Mechanical Behavior of Materials Committee (TMS/ASM). The objective of this symposium was to present current research on advanced interface controlled materials with primary focus on advanced materials. Special attention was given to design of such interface controlled materials with their unique and highly desirable properties. The symposium was designed to assess the current status and to identify future directions of research, design and applications of the role of interfaces in nanostructured bulk solids, films and coatings as well as polycrystalline superconducting materials. Particular emphasis was placed on developing close interactions and fostering future collaborations among scientists and engineers from the USA, Western and Eastern Europe, Russia, and other Asian countries.

Author: Youri Buffe
Publisher: Lean Six Sigma Belgium Editions
ISBN: 2931059129
Category : Business & Economics
Languages : en
Pages : 216

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Book Description
LSSx.0™ provides an integrated, unified and comprehensive approach to Lean Six Sigma as a general method for statistical problem solving. This second volume presents the business deployment of the approach and the generic DMAIC methodological protocol. Based on an original definition of statistical problems, it teaches the fundamentals of "discernible" statistical problems solving and the basic principles of Six Sigma. The book is intended for students and teachers in Lean Six Sigma as well as operational improvement practitioners who wish to go beyond the acquisition of recipes and develop their practices on a solid theoretical basis.

Author: Adrien Depeursinge
Publisher: Academic Press
ISBN: 0128123214
Category : Computers
Languages : en
Pages : 432

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Book Description
Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. - Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision - Defines the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements - Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different - Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedical texture operators - Showcases applications where biomedical texture analysis has succeeded and failed - Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis

Author: Ignacio Rojas
Publisher: Springer
ISBN: 3642386792
Category : Computers
Languages : en
Pages : 687

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Book Description
This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications