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题名: Image processing method for vision-based measure system of robot linear trajectory
作者: Hao YM(郝颖明) ; Dong ZL(董再励) ; Zhou J(周静) ; Liu, BC ; Sun, YuMan(孙玉满)
作者部门: 机器人学研究室
会议名称: 3rd International Symposium on Multispectral Image Processing and Pattern Recognition
会议日期: October 20-22, 2003
会议地点: BEIJING, China
会议主办者: Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Huazhong Univ Sci & Technol, SPIE
会议录: THIRD INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING AND PATTERN RECOGNITION, PTS 1 AND 2
会议录出版者: SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地: BELLINGHAM
出版日期: 2003
页码: 951-955
收录类别: CPCI(ISTP) ; EI
ISSN号: 0277-786X
ISBN号: 0-8194-5181-9
关键词: measure for linear trajectory ; image segmentation ; multilevel thresholds ; line fitting
摘要: The linear trajectory is one of major performance for industrial robot. A vision-based robots' linear trajectory measure system is introduced in this paper using a structure light and a special measure track. The three inflexions of the optical strip imaging at the V shape truck are used to compute the pose between the sensor frame and the track frame, then the linear trajectory of robot can be computed. The emphasis of this paper is the image processing. At this paper. the process of the image processing method for this system will be described at first. then the key methods include image segmentation and line fitting will be discussed, at last the experiment results will be given.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8735
Appears in Collections:机器人学研究室_会议论文

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