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A new template matching method based on contour information
Cai HY(蔡慧英); Zhu F(朱枫); Wu QX(吴清潇); Li SC(李思聪)
Department光电信息技术研究室
Conference NameInternational Symposium on Optoelectronic Technology and Application 2014
Conference DateMay 13-15, 2014
Conference PlaceBeijing, China
Source PublicationProc. Of SPIE 9301, International Symposium on Optoelectronic Technology and Application
PublisherSPIE
Publication PlaceBellingham, WA
2014
Pages1-7
Indexed ByEI ; CPCI(ISTP)
EI Accession number20150800551844
WOS IDWOS:000349327100009
Contribution Rank1
ISSN0277-786X
KeywordTemplate Matching Contour Distance Image Triple
Abstract

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.

Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15337
Collection光电信息技术研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang, China
4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, China
Recommended Citation
GB/T 7714
Cai HY,Zhu F,Wu QX,et al. A new template matching method based on contour information[C]. Bellingham, WA:SPIE,2014:1-7.
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