题名: | United moment invariants for shape discrimination |
作者: | Sun YN(孙亦南); Liu WJ(刘伟军) ; Wang YC(王越超)
|
作者部门: | 机器人学研究室
|
会议名称: | IEEE International Conference on Robotics, Intelligent Systems and Signal Processing
|
会议日期: | October 8-13, 2003
|
会议地点: | Changsha, China
|
会议主办者: | Chinese High tech Dev Program, Chinese Acad Sci, Chinese Soc Automat, IEEE Syst, Man & Cybernet Soc, Chinese Univ Hong Kong, Natl Univ Def Technol, IEEE Hong Kong RA & CS Joint Chapter, Joint Ctr Intelligen Sensing & Syst, Sch Elect Sci & Engn, Sch Mechatron Engn & Automat
|
会议录: | 2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS, INTELLIGENT SYSTEMS AND SIGNAL PROCESSING, VOLS 1 AND 2, PROCEEDINGS
|
会议录出版者: | IEEE
|
会议录出版地: | NEW YORK
|
出版日期: | 2003
|
页码: | 88-93
|
收录类别: | CPCI(ISTP)
|
WOS记录号: | WOS:000189506600017
|
产权排序: | 1
|
ISBN号: | 0-7803-7925-X
|
摘要: | Shape discrimination occupied a very important place in pattern recognition, image manipulation. However because of the affection of many factors, the geometric varieties of shape will be happened. It is needed to find the invariant feature values in all kind of instances. So, this paper proposes some new formulas of moment invariants that are defined united moments. The rotation, translation and scaling can be discretely kept invariant to region, closed and unclosed boundary. And the experiments show the effectivity of the united moments. |
语种: | 英语
|
Citation statistics: |
|
内容类型: | 会议论文
|
URI标识: | http://ir.sia.cn/handle/173321/8939
|
Appears in Collections: | 机器人学研究室_会议论文
|
File Name/ File Size |
Content Type |
Version |
Access |
License |
|
HYQW001206.pdf(299KB) | 会议论文 | -- | 开放获取 | | View
联系获取全文 |
|
作者单位: | 1.Graduate School of Chinese Academy of Sciences 2.Advanced Manufacture Lab, Shenyang Institute of Automation, Chinese Academy of Sciences
|
Recommended Citation: |
Sun YN,Liu WJ,Wang YC. United moment invariants for shape discrimination[C]. IEEE International Conference on Robotics, Intelligent Systems and Signal Processing. Changsha, China. October 8-13, 2003.United moment invariants for shape discrimination.
|
|
|