LIVRAISON GRATUITE - SANS VALEUR MINIMALE - PAIEMENT SÉCURISÉ - GRANDE SÉLECTION - PETIT PRIX

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Description

In this book, a study and analysis is done to improve the Content Based Image Retrieval method which uses the traditional low level features of images. Supported experimental results for a variety of classes of images depicted higher retrieval accuracy and lower computation speed. This method has faster retrieval speed than other methods due to its multiple features and low feature vector dimensions. The following are some key features of this book - Analysis of visual contents of an image is prepared by vast literature survey which has exposed that Color and Texture based features are most effective in content based image retrieval systems. Proper use of Color Spaces has improved the accuracy of the system. Special attention has been given to balance the article with mathematical models, notations and descriptions. As compared to single low level feature based image retrieval, multiple features like color and texture together gives better accuracy and high retrieval rate. Every diagram in this book is demonstrated accurately for clarification of the idea.

Contributeurs

Auteur Smita Das

Auteur Dwijen Rudrapal

Détails sur le produit

DUIN LMO9ETJCE3U

GTIN 9783659266065

Langues Anglais

Nombre de pages 96

Type de produit Livre de Poche

Dimension 220 x 150  mm

Content Based Image Retrieval Method

Based On Low Level Features

Smita Das

48,30 €

Vendeur: Dodax EU

Date de livraison: entre mardi, 6. octobre et jeudi, 8. octobre

État: Neuf

TVA incluse - Livraison GRATUITE
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48,30 €
TVA incluse - Livraison GRATUITE