DocumentCode :
3179426
Title :
A new invariant representation for color images and its application
Author :
Ibrahim, Abdelhameed F. ; Ali, Hesham A.
Author_Institution :
Comput. & Syst. Eng. Dept., Mansoura Univ., Mansoura, Egypt
fYear :
2011
fDate :
Nov. 29 2011-Dec. 1 2011
Firstpage :
267
Lastpage :
272
Abstract :
Factors such as shading, shadow, and highlight, observed from object surfaces in a scene, affect seriously the appearance and analysis of the color images. In this paper, we propose a new invariant representation that is derived from the standard dichromatic reflection model for inhomogeneous dielectric and the extended dichromatic reflection model for homogeneous metal. The illumination color is estimated from the specular reflection component on inhomogeneous surfaces without using a reference white standard. The overall performance of the proposed invariant representation is examined in experiments using real-world objects including metals and dielectrics. The feasibility of effective edge detection is introduced and compared with the state-of-the-art invariant methods.
Keywords :
edge detection; image colour analysis; image representation; metals; color images; dichromatic reflection model; edge detection; highlight; homogeneous metal; inhomogeneous dielectric; invariant representation; shading; shadow; specular reflection component; standard dichromatic reflection model; Color; Image color analysis; Image edge detection; Lighting; Metals; Nonhomogeneous media; Vectors; color image processing; dichromatic reflection models; image edge detection; image representation; invariant feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering & Systems (ICCES), 2011 International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4577-0127-6
Type :
conf
DOI :
10.1109/ICCES.2011.6141054
Filename :
6141054
Link To Document :
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