DocumentCode :
3481585
Title :
Object recognition algorithm research based on variable illumination
Author :
Ren Honge ; Zhong Qiubo ; Kang Junfeng
Author_Institution :
Inf. & Comput. Eng. Coll., Northeast Forestry Univ., Harbin, China
fYear :
2009
fDate :
5-7 Aug. 2009
Firstpage :
1609
Lastpage :
1613
Abstract :
Vision system is the critical component for soccer robot. During the football competition, most information perceived by robot is from vision system. Because of the variable illumination conditions, traditional image segmentation method based on color information is not satisfactory. An object recognition algorithm, which combined color image segmentation with edge detection is presented in this paper based on the color information and shape information of the object. This algorithm implement image segmentation using color information in the HSV color space obtain the pixel of the object, and use this pixel implement edge detection to recognize the object. Experiments show that this algorithm can recognize the object exactly in the different illumination conditions, satisfy the requirement of the competition.
Keywords :
edge detection; image colour analysis; image segmentation; object recognition; robot vision; shape recognition; color image segmentation; edge detection; football competition; object recognition algorithm research; shape information; soccer robot; variable illumination condition; vision system; Color; Image edge detection; Image recognition; Image segmentation; Lighting; Machine vision; Object recognition; Pixel; Robot vision systems; Shape; HSV; Image process; Robot vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
Type :
conf
DOI :
10.1109/ICAL.2009.5262717
Filename :
5262717
Link To Document :
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