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