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Reconocimiento de Imágenes de Color y Textur by Francisco J. Díaz-Pernas and Míriam Antón-Rodríguez (2011, Trade Paperback)

About this product

About this product

Product Information

El objetivo de esta tesis es desarrollar un modelo neuronal multi-escala para el reconocimiento de imagenes en color de escenas texturadas. El modelo, que combina informacion cromatica y textural para segmentar y reconocer las imagenes de forma coherente, esta constituido por dos modulos principales: el modulo de segmentacion compuesto por el Sistema de Color Oponente (COS) y el Sistema de Segmentacion Cromatica (CSS); y el modulo de reconocimiento basado en una red neuronal ARTMAP con propiedades de invarianza en escala y en orientacion. La segmentacion se realiza mediante la extraccion de contornos perceptuales y procesos de difusion sobre los canales oponentes cromaticos, basados en la teoria psicofisica humana de la percepcion del color. El modulo CSS lleva a cabo los procesos de realzado de las regiones de color mediante un bucle multi-escala de filtros orientados y mecanismos de competicion-cooperacion. Estos realzados, junto con las caracteristicas de textura constituyen el patron de entrada al clasificador neuronal supervisado. Posteriormente, la etapa neuronal realiza un reconocimiento atentivo de la escena."

Product Identifiers

Publisher
Editorial Academica Espanola
ISBN-10
3846574996
ISBN-13
9783846574997
eBay Product ID (ePID)
160093613

Product Key Features

Book Title
Reconocimiento De Imágenes De Color Y Textur
Author
Míriam Antón-Rodríguez, Francisco J. Díaz-Pernas
Format
Trade Paperback
Language
English
Topic
General
Publication Year
2011
Genre
Technology & Engineering
Number of Pages
200 Pages

Dimensions

Item Length
9in
Item Height
0.5in
Item Width
6in
Item Weight
10.8 Oz

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