DocumentCode :
2307221
Title :
A new color contrast enhancement algorithm for robotic applications
Author :
Gao, Chen ; Panetta, Karen ; Agaian, Sos
Author_Institution :
Electr. & Comput. Eng. Dept., Tufts Univ., Medford, MA, USA
fYear :
2012
fDate :
23-24 April 2012
Firstpage :
42
Lastpage :
47
Abstract :
In this paper, we introduce a new spatial domain color contrast enhancement algorithm based on the alpha weighted quadratic filter. The goal of this work is to utilize the characteristics of the nonlinear filter to enhance contrast while recovering the color information. Automatic parameter selection is also important for autonomous robot systems. Therefore, we also present a modified image contrast measure Global logAMEE to incorporate the global image information in regular logAMEE. The new measure helps to choose the optimal parameters and to demonstrate the effectiveness of the proposed method. Experimental results show that the proposed algorithm can enhance the contrast and color efficiently and effectively, even in the presence of noise. Thus, the algorithm is suitable for use in real time robotic applications. Comparison with existing algorithms will be also presented.
Keywords :
image colour analysis; image enhancement; image retrieval; mobile robots; nonlinear filters; principal component analysis; robot vision; Global logAMEE; alpha weighted quadratic filter; automatic parameter selection; autonomous robot systems; color information recovery; global image information; logAMEE; modified image contrast measure; nonlinear filter; real time robotic applications; spatial domain color contrast enhancement algorithm; Color; Colored noise; Filtering algorithms; Image color analysis; Maximum likelihood detection; Nonlinear filters; Robots; Global logAMEE; alpha weighted quadratic filter; color enhancement; robot vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Practical Robot Applications (TePRA), 2012 IEEE International Conference on
Conference_Location :
Woburn, MA
Print_ISBN :
978-1-4673-0855-7
Type :
conf
DOI :
10.1109/TePRA.2012.6215652
Filename :
6215652
Link To Document :
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