A new template matching method based on contour information
文献类型：会议论文
| 作者 | Cai HY(蔡慧英); Zhu F(朱枫) ; Wu QX(吴清潇); Li SC(李思聪)
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| 出版日期 | 2014 |
| 会议名称 | International Symposium on Optoelectronic Technology and Application 2014 |
| 会议日期 | May 13-15, 2014 |
| 会议地点 | Beijing, China |
| 关键词 | Template matching Contour Distance image Triple |
| 页码 | 1-7 |
| 中文摘要 | Template matching is a significant approach in machine vision due to its effectiveness and robustness. However, most of the template matching methods are so time consuming that they can’t be used to many real time applications. The closed contour matching method is a popular kind of template matching methods. This paper presents a new closed contour template matching method which is suitable for two dimensional objects. Coarse-to-fine searching strategy is used to improve the matching efficiency and a partial computation elimination scheme is proposed to further speed up the searching process. The method consists of offline model construction and online matching. In the process of model construction, triples and distance image are obtained from the template image. A certain number of triples which are composed by three points are created from the contour information that is extracted from the template image. The rule to select the three points is that the template contour is divided equally into three parts by these points. The distance image is obtained here by distance transform. Each point on the distance image represents the nearest distance between current point and the points on the template contour. During the process of matching, triples of the searching image are created with the same rule as the triples of the model. Through the similarity that is invariant to rotation, translation and scaling between triangles, the triples corresponding to the triples of the model are found. Then we can obtain the initial RST (rotation, translation and scaling) parameters mapping the searching contour to the template contour. In order to speed up the searching process, the points on the searching contour are sampled to reduce the number of the triples. To verify the RST parameters, the searching contour is projected into the distance image, and the mean distance can be computed rapidly by simple operations of addition and multiplication. In the fine searching process, the initial RST parameters are discrete to obtain the final accurate pose of the object. Experimental results show that the proposed method is reasonable and efficient, and can be used in many real time applications. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | Proc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
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| 会议录出版者 | SPIE |
| 会议录出版地 | Bellingham, WA |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| WOS记录号 | WOS:000349327100009 |
| 源URL | [http://ir.sia.cn/handle/173321/15337]  |
| 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 | Cai HY,Zhu F,Wu QX,et al. A new template matching method based on contour information[C]. 见:International Symposium on Optoelectronic Technology and Application 2014. Beijing, China. May 13-15, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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