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Springer Image Structure: Computational Imaging and Vision - Springer

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Description

Image Structure provides a comprehensive account of image structure grounded in rigorously defined machine concepts, drawing from algebra, analysis, and differential geometry. This volume in the Computational Imaging and Vision series approaches image definition with mathematical rigour whilst de-emphasising machine technicalities such as discretisation and quantisation details. The work demonstrates robustness with respect to noise throughout and presents foundational theory for computer vision and image analysis professionals. Authored with contributions from leading researchers including Jan Koenderink, this book addresses the fundamental question of image definition that remains surprisingly underexplored in computer vision literature. Suitable for physicists, mathematicians, and computer scientists seeking rigorous mathematical foundations for imaging systems and visual processing.

Key Features

Comprehensive treatment of image structure using rigorously defined machine concepts from algebra, analysis, and differential geometry.

Emphasises mathematical foundations whilst de-emphasising practical machine technicalities like discretisation and quantisation.

Demonstrates robustness with respect to noise across all theoretical developments and applications.

Part of the Computational Imaging and Vision series from Springer, volume 10.

Addresses fundamental gaps in computer vision literature regarding precise image definition and structure.

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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