| Image matching through combined features of singular value and region | |
Zhang ZJ(张志佳); Huang SB(黄莎白) ; Shi ZL(史泽林)
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| Department | 光电信息研究室 |
| Conference Name | International Conference on Machine Learning and Cybernetics |
| Conference Date | August 26-29, 2004 |
| Conference Place | Shanghai, China |
| Source Publication | PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 |
| Publisher | IEEE |
| Publication Place | NEW YORK |
| 2004 | |
| Pages | 3793-3797 |
| Indexed By | EI ; CPCI（ISTP） |
| EI Accession number | 2004458447135 |
| WOS ID | WOS:000225293600749 |
| Contribution Rank | 1 |
| ISBN | 0-7803-8403-2 |
| Keyword | Image Matching Singular Value Decomposition Region Similarity Combined Features |
| Abstract | 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. |
| Language | 英语 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/7984 |
| Collection | 光电信息技术研究室 |
| Corresponding Author | Zhang ZJ(张志佳) |
| Affiliation | 1.Shenyang Institute of Automation, Shenyang 110016, China 2.Graduate School, Chinese Academy of Sciences, Beijing 100039, China |
| Recommended Citation GB/T 7714 | Zhang ZJ,Huang SB,Shi ZL. Image matching through combined features of singular value and region[C]. NEW YORK:IEEE,2004:3793-3797. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| HYQW000647.pdf（598KB） | 开放获取 | CC BY-NC-SA | View Application Full Text | |||
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