Feature Extraction and Image Processing for Computer Vision

Name: Feature Extraction and Image Processing for Computer Vision
Brand: Elsevier Science
SKU: 9780443366864
Price: 104.68 EUR
Availability: InStock

Autor: Mark Nixon, Alberto Aguado

Jazyk:

Väzba: Brožovaná

Vydavateľ: Elsevier Science

Dostupnosť: U vydavateľa na objednávku

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104.68 €

Feature Extraction and Image Processing for Computer Vision, Sixth Edition, is an essential guide to...

Informácie o knihe

Autor

Mark Nixon, Alberto Aguado

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2025

Stránok

701

EAN

9780443366864

ISBN

0443366861

Enbook ID

47016007

Vydavateľ

Elsevier Science

Hmotnosť

1000

Rozmery

191 x 235

Kompletný popis

Feature Extraction and Image Processing for Computer Vision, Sixth Edition, is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated, providing a link between theory and implementation. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.

The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning
Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour)
Good balance between providing a mathematical background and practical implementation
Detailed explanations of algorithms in MATLAB and Python

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Feature Extraction and Image Processing for Computer Vision

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