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