DocumentCode :
2822887
Title :
The application of improved HSV color space model in image processing
Author :
Shuhua, Li ; Gaizhi, Guo
Author_Institution :
Coll. of Electron. & Inf. Eng., Inner Mongolia Univ., Hohhot, China
Volume :
2
fYear :
2010
fDate :
21-24 May 2010
Abstract :
General HSV color space is another expression of RGB color space. As it expresses the perception color contacts clearer than RGB, and the calculation is very simple, it is adopted widely in the image processing. But because of the mathematical definition limitation, it may be inaccuracy to the color classification in some conditions and influences the stability of the algorithm. In this paper, some modification is proposed to the HSV mathematical definition, the instability is eliminated from formula, object tracking algorithm such as MEANSHIFT is tested for this improvement. In the real projects, the improved model should be widely used.
Keywords :
image classification; image colour analysis; mathematical analysis; object detection; optical tracking; HSV mathematical definition; MEANSHIFT; RGB color space; color classification; general HSV color space; image processing; improved HSV color space model; mathematical definition limitation; object tracking algorithm; perception color contacts; Application software; Color; Educational institutions; Gaussian distribution; Image processing; Information technology; Object detection; Space technology; Stability; Testing; MEANSHIFT; color space; color space transformation; moving object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
Type :
conf
DOI :
10.1109/ICFCC.2010.5497299
Filename :
5497299
Link To Document :
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