£108.01

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£108 today · previous high £108 · all-time low £97

Springer Advances in Reasoning-Based Image Processing Intelligent Systems

Amazon

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73 days 1 day · current 0 18 37 55 73 £97 £108 Days at Price

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Description

This comprehensive reference explores contemporary techniques in reasoning-based image processing and analysis, covering learning-based image representation, advanced video coding, and intelligent systems for medical vision applications. The book examines similarity learning models for image reconstruction, visual perception for mobile robot motion control, and simulation of human brain activity in video sequence analysis. It presents shape-based invariant features extraction methods, paraconsistent neural networks, and creativity in computational systems representation. Spanning 14 chapters, this volume from Springer's Intelligent Systems Reference Library series (volume 29) provides both conventional and intelligent paradigms for professionals and researchers seeking to understand cutting-edge approaches to computer vision, machine learning, and automated image understanding.

Key Features

Covers learning-based image representation and advanced video coding techniques for modern image processing applications.

Explores intelligent image processing and analysis methods specifically designed for medical vision systems and healthcare diagnostics.

Presents similarity learning models and techniques for accurate image reconstruction from partial or degraded visual data.

Discusses visual perception algorithms for mobile robot motion control and autonomous navigation systems.

Examines paraconsistent neural networks and shape-based invariant features for robust image analysis and feature extraction.

Part of Springer's Intelligent Systems Reference Library series (volume 29) providing authoritative reference material for AI and machine learning.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 January 2012
Listed Since
07 September 2011

Barcode

No barcode data available

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