DocumentCode :
2198324
Title :
Research of locating robot color patch based on color vector analysis algorithm
Author :
Shuai, Zhang ; Ze, Zhang
Author_Institution :
Coll. of Electron. Inf. & Eng., Inner Mongolia Univ., Hohhot, China
fYear :
2011
fDate :
9-11 Sept. 2011
Firstpage :
395
Lastpage :
398
Abstract :
This paper mainly proposes the method of locating robot based on vision and uses method based on color patch to locate robot. The knowledge about image sharpening and smoothing with emphasis on RGB color vector analysis algorithm is introduced in this paper. In preprocessing for colorful image, the main method includes image smoothing and image sharpening, image sharpening has many ways; different ways have different effect. This paper proposes Laplacian operator, which does best in eliminating noise and anti- disturbance, to sharpen colorful image. In testing color target, this work proposes the method for locating color patch based on RGB color vector analysis algorithm to identify image directly, saving the transformation time of color space. This algorithm does best in timeliness, precision, anti-disturbance and adaptability. The effect in practical application is also good.
Keywords :
image colour analysis; image denoising; image recognition; robot vision; Laplacian operator; RGB color vector analysis algorithm; antidisturbance method; image identification; image sharpening; image smoothing; noise elimination; robot color patch location; robot vision; Algorithm design and analysis; Colored noise; Equations; Image color analysis; Mathematical model; Robots; Vectors; Laplacian operator; color; color patch; vector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
Type :
conf
DOI :
10.1109/ICECC.2011.6067839
Filename :
6067839
Link To Document :
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