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Computational Morphology

Author: G.T. Toussaint
Publisher: Elsevier
ISBN: 1483296725
Size: 35.95 MB
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Computational Geometry is a new discipline of computer science that deals with the design and analysis of algorithms for solving geometric problems. There are many areas of study in different disciplines which, while being of a geometric nature, have as their main component the extraction of a description of the shape or form of the input data. This notion is more imprecise and subjective than pure geometry. Such fields include cluster analysis in statistics, computer vision and pattern recognition, and the measurement of form and form-change in such areas as stereology and developmental biology. This volume is concerned with a new approach to the study of shape and form in these areas. Computational morphology is thus concerned with the treatment of morphology from the computational geometry point of view. This point of view is more formal, elegant, procedure-oriented, and clear than many previous approaches to the problem and often yields algorithms that are easier to program and have lower complexity.

Discrete And Computational Geometry

Author: Jin Akiyama
Publisher: Springer
ISBN: 3540477381
Size: 21.37 MB
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This book constitutes the thoroughly refereed post-proceedings of the Japanese Conference on Discrete Computational Geometry, JCDCG 2001, held in Tokyo, Japan in November 2001. The 35 revised papers presented were carefully reviewed and selected. Among the topics covered are polygons and polyhedrons, divissible dissections, convex polygon packings, symmetric subsets, convex decompositions, graph drawing, graph computations, point sets, approximation, Delauny diagrams, triangulations, chromatic numbers, complexity, layer routing, efficient algorithms, and illumination problems.

Visual Form

Author: C. Arcelli
Publisher: Springer Science & Business Media
ISBN: 1489907157
Size: 13.83 MB
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This book contains the papers presented at the International Workshop on Visual Fonn, held in Capri (Italy) on May 27-30, 1991. The workshop, sponsored by the International Association for Pattern Recognition (!APR), has been jointly organized by the Dipartimento di Infonnatica e Sisternistica of the University of Naples and the Istituto di Cibemetica of the National Research Council of Italy, and has focussed on Shape. Shape is a distinctive feature of most patterns, so that recognition can often be attained through shape discrimination. The organizers of the workshop shared the general feeling manifested by researchers, that it was time for holding a meeting exclusively devoted to a feature so crucial for both human and machine perception. During this meeting, problems and prospects in the field of 2D and 3D shape analysis could be discussed extensively, so as to provide an effective, updated picture of the current research activity in which shape plays a central role. Indeed, many highly qualified researchers in the field positively reacted to the Call for Papers.

New Trends In Intuitive Geometry

Author: Gergely Ambrus
Publisher: Springer
ISBN: 3662574136
Size: 75.79 MB
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This volume contains 17 surveys that cover many recent developments in Discrete Geometry and related fields. Besides presenting the state-of-the-art of classical research subjects like packing and covering, it also offers an introduction to new topological, algebraic and computational methods in this very active research field. The readers will find a variety of modern topics and many fascinating open problems that may serve as starting points for research.

Report Cs R

Author: Centrum voor Wiskunde en Informatica (Amsterdam, Netherlands) Dept. of Computer Science
Size: 15.61 MB
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Finding Color And Shape Patterns In Images

Author: Scott Cohen
Size: 76.49 MB
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Abstract: "This thesis is devoted to the Earth Mover's Distance (EMD), an edit distance between distributions, and its use within content-based image retrieval (CBIR). The major CBIR problem discussed is the pattern problem: Given an image and a query pattern, determine if the image contains a region which is visually similar to the pattern; if so, find at least one such image region. An important problem that arises in applying the EMD to CBIR is the EMD under transformation (EMDG̲) problem: find a transformation of one distribution which minimizes its EMD to another, where the set of allowable transformations G is given. The problem of estimating the size/scale at which a pattern occurs in an image is phrased and efficiently solved as an EMDG̲ problem. For a large class of transformation sets, we also present a monotonically convergent iteration to find at least a locally optimal transformation. Our pattern problem solution is the SEDL (Scale Estimation for Directed Location) image retrieval system. Three important contributions of SEDL are (1) a general framework for finding both color and shape patterns, (2) the previously mentioned scale estimation algorithm using the EMD, and (3) a directed (as opposed to exhaustive) search strategy."

Machine Learning Concepts Methodologies Tools And Applications

Author: Management Association, Information Resources
Publisher: IGI Global
ISBN: 1609608194
Size: 63.96 MB
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"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe

Environment And Planning

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Journal of urban planning and design. Publishes research in the application of formal methods, methods models, and theories to spatial problems involving the built environment and the spatial structure of cities and regions. Includes the application of computers to planning and design, in particular the use of shape grammars, artificial intelligence, and morphological methods to buildings and towns, the use of multimedia and GIS in urban and regional planning, and the development of ideas concerning the virtual city.