Segmentación de color en imágenes digitales usando Visual C#.Net

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Published: 2007-01-30
DOI: https://doi.org/10.17163/ings.n1.2007.02

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Bayardo Campuzano Nieto

Abstract

En este trabajo se presenta la definición de los histogramas de color de una imagen y se usa dicha definición para el segmentado de objetos cuyo color resalte en dicha imagen además se implementa estos conceptos en Visual C#.Net.

Article Details

Issue
No. 1 (2007)
Section
Scientific Paper

 

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Author Biography

Bayardo Campuzano Nieto

Ingeniería de Sistemas UPS-QUITO

References

K. S. Fu, R. C. Gonzalez y C.S.G. Lee, Robotica: Control detección, visión e inteligencia, ED McGraw-Hill, 1990.

D. Marvall Gómez-Allende, Reconocimiento de Formas y Visión Computacional.

M: Faúnde Zanuy, Tratamiento Digital de Voz e Imagen y aplicaciones a la Multimedia, Ed Alfaomega, Madrid 2001.

G. Pajares y J. M. De la Cruz, Visión Por Computadora, Ed Alfaomega, Madrid, 2002.

A. de la Escalera, Visión Por Computadora, Ed Prentice-Hall, Madrid, 2001.

Revista Electrónica de Visión por Computadora, REVC, http://revc.uab.es

VIDERE, A Journal of Computer Vision Research, http://mitpress.mit.edu/e-journals/Videre/