Shape Analysis and Classification: Theory and Practice (Image Processing Series) - Tapa dura

Da Fontoura Costa, Luciano; Cesar Jr., Roberto Marcond

 
9780849334931: Shape Analysis and Classification: Theory and Practice (Image Processing Series)
Tapa dura
ISBN 10: 0849334934 ISBN 13: 9780849334931
Editorial: CRC Press, 2000

Sinopsis

Advances in shape analysis impact a wide range of disciplines, from mathematics and engineering to medicine, archeology, and art. Anyone just entering the field, however, may find the few existing books on shape analysis too specific or advanced, and for students interested in the specific problem of shape recognition and characterization, traditional books on computer vision are too general. Shape Analysis and Classification: Theory and Practice offers an integrated and conceptual introduction to this dynamic field and its myriad applications. Beginning with the basic mathematical concepts, it deals with shape analysis, from image capture to pattern classification, and presents many of the most advanced and powerful techniques used in practice. The authors explore the relevant aspects of both shape characterization and recognition, and give special attention to practical issues, such as guidelines for implementation, validation, and assessment. Shape Analysis and Classification provides a rich resource for the computational characterization and classification of general shapes, from characters to biological entities. Both students and researchers can directly use its state-of-the-art concepts and techniques to solve their own problems involving the characterization and classification of visual shapes.

"Sinopsis" puede pertenecer a otra edición de este libro.

Críticas

It is presented as a self-contained introductory textbook Therefore it is the intention of the authors to make the concepts covered in the book accessible to a broad range of readers The way in which the book is written clearly illustrates the authors' enthusiasm is, in my opinion, beneficial to any prospective reader The presence of numerous examples and clearly explained algorithms are definitely helpful a good acquisition for any researcher in the field of shape and image analysis as a general reference of the subject Overall, I recommend this book. It is easy to read and well laid out with many examples, diagrams and figures.

Reseña del editor

Advances in shape analysis impact a wide range of disciplines, from mathematics and engineering to medicine, archeology, and art. Anyone just entering the field, however, may find the few existing books on shape analysis too specific or advanced, and for students interested in the specific problem of shape recognition and characterization, traditional books on computer vision are too general.

Shape Analysis and Classification: Theory and Practice offers an integrated and conceptual introduction to this dynamic field and its myriad applications. Beginning with the basic mathematical concepts, it deals with shape analysis, from image capture to pattern classification, and presents many of the most advanced and powerful techniques used in practice. The authors explore the relevant aspects of both shape characterization and recognition, and give special attention to practical issues, such as guidelines for implementation, validation, and assessment.

Shape Analysis and Classification provides a rich resource for the computational characterization and classification of general shapes, from characters to biological entities. Both students and researchers can directly use its state-of-the-art concepts and techniques to solve their own problems involving the characterization and classification of visual shapes.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
CRC Press
Año de publicación
2000
Idioma
Inglés
ISBN 10 
0849334934
ISBN 13 
9780849334931
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
680
Contacto del fabricante
no disponible
Persona responsable
Buchpark GmbH
gpsr@buchpark.de

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