Image matching through combined features of singular value and region
文献类型：会议论文
| 作者 | Zhang ZJ(张志佳); Huang SB(黄莎白) ; Shi ZL(史泽林)
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| 出版日期 | 2004 |
| 会议名称 | International Conference on Machine Learning and Cybernetics |
| 会议日期 | August 26-29, 2004 |
| 会议地点 | Shanghai, China |
| 关键词 | image matching singular value decomposition region similarity combined features |
| 页码 | 3793-3797 |
| 中文摘要 | Facing the instability when using the singular value vector separately in image matching, this paper proposes a new algorithm that combines region feature and singular value vector to get a more accurate matching. The approximate singular value,vector has been defined in this paper based on the fact that the singular value has robust performance invariant to light image disturbance and it is qualified to represent the image as an algebraic feature in general instance. A kind of region similarity of two binary images has also been defined in the algorithm. Experiments are performed on a large test set and the results demonstrate that the proposed algorithm has more veracious capabilities than the method using singular value vector separately. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7
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| 会议录出版者 | IEEE |
| 会议录出版地 | NEW YORK |
| 语种 | 英语 |
| ISBN号 | 0-7803-8403-2 |
| WOS记录号 | WOS:000225293600749 |
| 源URL | [http://ir.sia.cn/handle/173321/7984]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 推荐引用方式 GB/T 7714 | Zhang ZJ,Huang SB,Shi ZL. Image matching through combined features of singular value and region[C]. 见:International Conference on Machine Learning and Cybernetics. Shanghai, China. August 26-29, 2004. |
入库方式： OAI收割
来源：沈阳自动化研究所
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