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Online Public Access Catalogue

题名/责任者:

Polygonal approximation and scale-space analysis / Kumar S. Ray and Bimal Kumar Ray.

出版发行项:

Oakville, Ont. : Apple Academic Press, 2013.

ISBN:

9781926895338 :

载体形态项:

viii, 376 p. : ill. ; 24 cm.

个人责任者:

Ray, Kumar S.

附加个人名称:

Ray, Bimal Kumar.

论题主题:

Curves-Computer simulation.

论题主题:

Geometry-Data processing.

论题主题:

Polygons.

论题主题:

Approximation theory.

论题主题:

Image processing-Mathematics.

论题主题:

Pattern recognition systems-Mathematics.

论题主题:

Computer vision-Mathematics.

中图法分类号:

O187.1

书目附注:

Includes bibliographical references and index.

内容附注:

Polygonal approximation -- A split and merge technique -- A sequential one-pass method -- Another sequential one-pass method -- A data-driven method -- A two-pass sequential method -- Polygonal approximation using reverse engineering on Bresenham's line drawing technique -- Polygonal approximation as angle detection -- Polygonal approximation as angle detection using asymmetric region of support -- Scale space analysis with application to corner detection -- Scale space analysis and corner detection on chain coded curves -- Scale space analysis and corner detection using iterative Gaussian smoothing with constant window size -- Corner detection using Bessel function as smoothing kernel -- Adaptive smoothing using convolution with Gaussian Kernel -- Application of polygonal approximation for pattern classification and object recognition -- Polygonal dissimilarity and scale preserving smoothing -- Matching polygon fragments -- Polygonal approximation to recognize and locate partially occluded objects hypothesis generation and verification paradigm -- Object recognition with belief revision: hypothesis generation and belief revision program -- Neuro-fuzzy reasoning for occluded object recognition: a learning paradigm through neuro-fuzzy concept -- Conclusion.

摘要附注:

This book covers the most important topics in the area of pattern recognition, object recognition, computer vision, robot vision, medical computing, computational geometry, and bioinformatics systems. Readers will find a comprehensive treatment of polygonal approximation and its real life applications. The book not only explains the theoretical aspects but also presents applications with detailed design parameters. Polygonal approximation of digital curves has been cultivated by many researchers, but its scale-space analysis has not been thoroughly discussed. Hence, a systematic development of polygonal approximation and scale-space analysis of digital curve is very essential for future work. Also there is no comprehensive book on polygonal approximation and scale-space analysis of digital curves. This book will be very useful from theoretical and practical point of view. The last part of the book handles a series of applications in the area of structural patter classification and object recognition -- P. [4] of cover.

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