£121.47

Springer Image Structure: 10 (Computational Imaging and Vision)

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Description

Explore a rigorous approach to the fundamental definitions of image structure with this specialized volume from Springer. While images are the central focus of computer vision and image analysis, their formal definitions are often overlooked. This book addresses that gap by providing a complete account of image structure through the lens of machine concepts. By utilizing foundational tools from algebra, analysis, and differential geometry, the text offers a mathematical framework that remains robust against noise. The content focuses on high-level structural concepts rather than getting lost in machine technicalities like discretization or quantization details. This approach makes the material accessible and relevant for a wide audience, including physicists and researchers in the fields of computational imaging and vision. It serves as a deep dive into the mathematical essence of how machines perceive and process visual information.

Key Features

Provides a complete account of image structure using rigorously defined machine concepts.

Utilizes mathematical tools from algebra, analysis, and differential geometry for a formal foundation.

Maintains robustness with respect to noise throughout the theoretical frameworks.

Focuses on structural definitions rather than technical discretization and quantization details.

Designed for a wide audience including physicists and computer vision specialists.

Part of the Computational Imaging and Vision series from Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 September 1997
Listed Since
15 December 2006

Barcode

No barcode data available

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