Template matching and registration based on edge feature
文献类型：会议论文
| 作者 | Hou, Qingyu; Lu, Lihong; Bian, Chunjiang; Zhang, Wei |
| 出版日期 | 2012 |
| 会议名称 | Optoelectronic Imaging and Multimedia Technology II |
| 会议日期 | November 5, 2012 - November 7, 2012 |
| 会议地点 | Beijing, China |
| 通讯作者 | Hou, Q. (houqingyu@126.com) |
| 中文摘要 | In order to improve the performance of heterogeneous image matching and registration, the Weighted Voting Accumulation Measure(WVAM) based on the edge feature and image registration algorithm based on the steepest descent of the likelihood function are proposed. The WVAM is capable of resisting the interference of noise and the similarity region and can achieve matching location of template. On this basis, the likelihood function of edge sets registration is established on the basis of Gauss Mixture Model (GMM) of point sets. In order to achieve the registration between the template and matching area, and resolve the optimum transformation parameter by using the steepest descent method, the likelihood function is regarded as objective function and the affine transformation parameter is regarded as the optimization variance. The results of simulation experiments of this algorithm proved that the good performance of template and registration. © Copyright SPIE. |
| 英文摘要 | In order to improve the performance of heterogeneous image matching and registration, the Weighted Voting Accumulation Measure(WVAM) based on the edge feature and image registration algorithm based on the steepest descent of the likelihood function are proposed. The WVAM is capable of resisting the interference of noise and the similarity region and can achieve matching location of template. On this basis, the likelihood function of edge sets registration is established on the basis of Gauss Mixture Model (GMM) of point sets. In order to achieve the registration between the template and matching area, and resolve the optimum transformation parameter by using the steepest descent method, the likelihood function is regarded as objective function and the affine transformation parameter is regarded as the optimization variance. The results of simulation experiments of this algorithm proved that the good performance of template and registration. © Copyright SPIE. |
| 收录类别 | EI |
| 会议主办者 | The Society of Photo-Optical Instrumentation Engineers (SPIE); COS - Chinese Optical Society |
| 会议录 | Proceedings of SPIE - The International Society for Optical Engineering
 |
| 会议录出版者 | SPIE, P.O. Box 10, Bellingham, WA 98227-0010, United States |
| 学科主题 | 空间技术 |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 9780819493132 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/2943]  |
| 专题 | 国家空间科学中心_空间技术部 |
| 推荐引用方式 GB/T 7714 | Hou, Qingyu,Lu, Lihong,Bian, Chunjiang,et al. Template matching and registration based on edge feature[C]. 见:Optoelectronic Imaging and Multimedia Technology II. Beijing, China. November 5, 2012 - November 7, 2012. |
入库方式： OAI收割
来源：国家空间科学中心
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