Digital Functions and Data Reconstruction

Name: Digital Functions and Data Reconstruction
Brand: Springer-Verlag New York Inc.
SKU: 9781461456377
Price: 208.5 PLN
Availability: InStock

Digital-Discrete Methods

Autor: Li M. Chen

Język:

Oprawa: Twarda

Wydawca: Springer-Verlag New York Inc.

Dostępność: Dostępna u dostawcy

Wysyłamy za 10-13 dni

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Digital Functions and Data Reconstruction: Digital-Discrete Methods provides a solid foundation to t...

Informacje o książce

Autor

Li M. Chen

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2012

strony

208

EAN

9781461456377

ISBN

1461456371

Enbook ID

01428335

Wydawca

Springer-Verlag New York Inc.

Waga

4675

Wymiary

155 x 235 x 18

Pełny opis

Digital Functions and Data Reconstruction: Digital-Discrete Methods provides a solid foundation to the theory of digital functions and its applications to image data analysis, digital object deformation, and data reconstruction. This new method has a unique feature in that it is mainly built on discrete mathematics with connections to classical methods in mathematics and computer sciences. §Digitally continuous functions and gradually varied functions were developed in the late 1980s. A. Rosenfeld (1986) proposed digitally continuous functions for digital image analysis, especially to describe the continuous component in a digital image, which usually indicates an object. L. Chen (1989) invented gradually varied functions to interpolate a digital surface when the boundary appears to be continuous. In theory, digitally continuous functions are very similar to gradually varied functions. Gradually varied functions are more general in terms of being functions of real numbers; digitally continuous functions are easily extended to the mapping from one digital space to another. §This will be the first book about digital functions, which is an important modern research area for digital images and digitalized data processing, and provides an introduction and comprehensive coverage of digital function methods. Digital Functions and Data Reconstruction: Digital-Discrete Methods offers scientists and engineers who deal with digital data a highly accessible, practical, and mathematically sound introduction to the powerful theories of digital topology and functional analysis, while avoiding the more abstruse aspects of these topics.

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