Ridges in Image and Data Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 9401587655
Total Pages : 221 pages
Book Rating : 4.55/5 ( download)

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Book Synopsis Ridges in Image and Data Analysis by : D. Eberly

Download or read book Ridges in Image and Data Analysis written by D. Eberly and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of ridges has appeared numerous times in the image processing liter ature. Sometimes the term is used in an intuitive sense. Other times a concrete definition is provided. In almost all cases the concept is used for very specific ap plications. When analyzing images or data sets, it is very natural for a scientist to measure critical behavior by considering maxima or minima of the data. These critical points are relatively easy to compute. Numerical packages always provide support for root finding or optimization, whether it be through bisection, Newton's method, conjugate gradient method, or other standard methods. It has not been natural for scientists to consider critical behavior in a higher-order sense. The con cept of ridge as a manifold of critical points is a natural extension of the concept of local maximum as an isolated critical point. However, almost no attention has been given to formalizing the concept. There is a need for a formal development. There is a need for understanding the computation issues that arise in the imple mentations. The purpose of this book is to address both needs by providing a formal mathematical foundation and a computational framework for ridges. The intended audience for this book includes anyone interested in exploring the use fulness of ridges in data analysis.

Ridges in Image and Data Analysis

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Publisher :
ISBN 13 : 9789401587662
Total Pages : 228 pages
Book Rating : 4.63/5 ( download)

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Book Synopsis Ridges in Image and Data Analysis by : D Eberly

Download or read book Ridges in Image and Data Analysis written by D Eberly and published by . This book was released on 1996-09-30 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough development of ridges and their application to image and data analysis. The text is self-contained by including a chapter on the necessary mathematical background, chapters on the formal ridge definitions in any geometric setting, and a chapter on the numerical implementation. An applications chapter covers three separate topics: medical image analysis, molecular modeling, and analysis of fluid flow. Audience: The book is intended primarily for computer vision and image processing scientists with a background in mathematics and scientific computation. However, ridges provide a general purpose tool for multidimensional data analysis, so the book will be of interest to practitioners in any field which requires the analyzing of data, such as statistics, the physical sciences, or engineering.

Landmark-Based Image Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 9401597871
Total Pages : 314 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Landmark-Based Image Analysis by : Karl Rohr

Download or read book Landmark-Based Image Analysis written by Karl Rohr and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Landmarks are preferred image features for a variety of computer vision tasks such as image mensuration, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Main advantages of using landmarks are robustness w. r. t. lightning conditions and other radiometric vari ations as well as the ability to cope with large displacements in registration or motion analysis tasks. Also, landmark-based approaches are in general com putationally efficient, particularly when using point landmarks. Note, that the term landmark comprises both artificial and natural landmarks. Examples are comers or other characteristic points in video images, ground control points in aerial images, anatomical landmarks in medical images, prominent facial points used for biometric verification, markers at human joints used for motion capture in virtual reality applications, or in- and outdoor landmarks used for autonomous navigation of robots. This book covers the extraction oflandmarks from images as well as the use of these features for elastic image registration. Our emphasis is onmodel-based approaches, i. e. on the use of explicitly represented knowledge in image analy sis. We principally distinguish between geometric models describing the shape of objects (typically their contours) and intensity models, which directly repre sent the image intensities, i. e. ,the appearance of objects. Based on these classes of models we develop algorithms and methods for analyzing multimodality im ages such as traditional 20 video images or 3D medical tomographic images.

The Use of Image Analysis Techniques to Characterise Mid-ocean Ridges from Multibeam and Sidescan Sonar Data

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ISBN 13 :
Total Pages : pages
Book Rating : 4.30/5 ( download)

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Book Synopsis The Use of Image Analysis Techniques to Characterise Mid-ocean Ridges from Multibeam and Sidescan Sonar Data by : Jane A. Keeton

Download or read book The Use of Image Analysis Techniques to Characterise Mid-ocean Ridges from Multibeam and Sidescan Sonar Data written by Jane A. Keeton and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Scale-Space Theories in Computer Vision

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Publisher : Springer
ISBN 13 : 3540482369
Total Pages : 544 pages
Book Rating : 4.69/5 ( download)

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Book Synopsis Scale-Space Theories in Computer Vision by : Mads Nielsen

Download or read book Scale-Space Theories in Computer Vision written by Mads Nielsen and published by Springer. This book was released on 2003-06-26 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the Second International Conference on Scale-Space Theories in Computer Vision, Scale-Space'99, held in Corfu, Greece, in September 1999. The 36 revised full papers and the 18 revised posters presented in the book were carefully reviewed and selected from 66 high-quality submissions. The book addresses all current aspects of this young and active field, in particular geometric Image flows, nonlinear diffusion, functional minimization, linear scale-space, etc.

Mathematical Morphology and its Applications to Image and Signal Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 9780792351337
Total Pages : 468 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Mathematical Morphology and its Applications to Image and Signal Processing by : Henk J.A.M. Heijmans

Download or read book Mathematical Morphology and its Applications to Image and Signal Processing written by Henk J.A.M. Heijmans and published by Springer Science & Business Media. This book was released on 1998-05-31 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of the International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing IV, held June 3-5, 1998, in Amsterdam, The Netherlands. The purpose of the work is to provide the image analysis community with a sampling of recent developments in theoretical and practical aspects of mathematical morphology and its applications to image and signal processing. Among the areas covered are: digitization and connectivity, skeletonization, multivariate morphology, morphological segmentation, color image processing, filter design, gray-scale morphology, fuzzy morphology, decomposition of morphological operators, random sets and statistical inference, differential morphology and scale-space, morphological algorithms and applications. Audience: This volume will be of interest to research mathematicians and computer scientists whose work involves mathematical morphology, image and signal processing.

New Developments in the Visualization and Processing of Tensor Fields

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Publisher : Springer Science & Business Media
ISBN 13 : 3642273424
Total Pages : 389 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis New Developments in the Visualization and Processing of Tensor Fields by : David H. Laidlaw

Download or read book New Developments in the Visualization and Processing of Tensor Fields written by David H. Laidlaw and published by Springer Science & Business Media. This book was released on 2012-09-14 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together key researchers in disciplines ranging from visualization and image processing to applications in structural mechanics, fluid dynamics, elastography, and numerical mathematics, the workshop that generated this edited volume was the third in the successful Dagstuhl series. Its aim, reflected in the quality and relevance of the papers presented, was to foster collaboration and fresh lines of inquiry in the analysis and visualization of tensor fields, which offer a concise model for numerous physical phenomena. Despite their utility, there remains a dearth of methods for studying all but the simplest ones, a shortage the workshops aim to address. Documenting the latest progress and open research questions in tensor field analysis, the chapters reflect the excitement and inspiration generated by this latest Dagstuhl workshop, held in July 2009. The topics they address range from applications of the analysis of tensor fields to purer research into their mathematical and analytical properties. They show how cooperation and the sharing of ideas and data between those engaged in pure and applied research can open new vistas in the study of tensor fields.

Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry

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Publisher : Springer Science & Business Media
ISBN 13 : 354070714X
Total Pages : 182 pages
Book Rating : 4.41/5 ( download)

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Book Synopsis Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry by : Petra Perner

Download or read book Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry written by Petra Perner and published by Springer Science & Business Media. This book was released on 2008-07-04 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automatic analysis of signals and images together with the characterization and elaboration of their representation features is still a challenging activity in many relevant scientific and hi-tech fields such as medicine, biotechnology, and chemistry. Multidimensional and multisource signal processing can generate a number of information patterns which can be useful to increase the knowledge of several domains for solving complex problems. Furthermore, advanced signal and image manipulation allows relating specific application problems into pattern recognition problems, often implying also the development of KDD and other computational intelligence procedures. Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly, signal and image understanding approaches able to generate automatically expected outputs become more and more essential, including novel conceptual approaches and system architectures. The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008; www.mda-signals.de) was to present the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry. Scientific and engineering experts convened at the workshop to present the current understanding of image and signal processing and interpretation methods useful for facing various medical and biological problems and exploring the applicability and effectiveness of advanced techniques as solutions.

Pattern Recognition and Data Mining

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Publisher : Springer
ISBN 13 : 3540287582
Total Pages : 713 pages
Book Rating : 4.82/5 ( download)

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Book Synopsis Pattern Recognition and Data Mining by : Sameer Singh

Download or read book Pattern Recognition and Data Mining written by Sameer Singh and published by Springer. This book was released on 2005-09-16 with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt: This LNCS volume contains the papers presented at the 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005) organized in August, 2005 in the beautiful city of Bath, UK.

Scale-Space and Morphology in Computer Vision

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Publisher : Springer
ISBN 13 : 3540477780
Total Pages : 446 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Scale-Space and Morphology in Computer Vision by : Michael Kerckhove

Download or read book Scale-Space and Morphology in Computer Vision written by Michael Kerckhove and published by Springer. This book was released on 2003-05-15 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001, held in Vancouver, Canada in July 2001. The 18 revised full papers presented together with 23 posters were carefully reviewed and selected from 60 submissions. The book addresses all current aspects of scale-space and morphology in the context of computer vision, in particular, vector distance functions, optic flow, image registration, curve evolution, morphological segmentation, scalar images, vector images, automatic scale selection, geometric diffusion, diffusion filtering, image filtering, inverse problems, active contours, etc.