文章基本信息

标题：On Improved Deformable Template Matching For Polygonal Objects
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作者：Z. Tang ; H. Lu ; J. Luo 等
期刊名称：Journal of Computer Science and Technology
印刷版ISSN：1666-6046
电子版ISSN：1666-6038
出版年度：2004
卷号：4
期号：1
出版社：Iberoamerican Science & Technology Education Consortium
摘要：In this paper, an improvement of deformable template matching algorithm for polygonal objects in grayscale images using two-dimensional deformable templates along orthogonal curves is presented. In the process of pre-computing extensions of the deformable template along orthogonal curves, the novel matching approach incorporates adapting knowledge-specific template discretization techniques appropriate for different polygonal objects and minimizing the improved internal and external energy terms containing inter-shape information of polygonal objects. In our application, this energy optimization problem of the deformable template is efficiently solved by a genetic algorithm (GA). Our algorithm has been successfully applied on synthetic images and real images. The experiment results show that the new approach provides more robust and accurate matching method
关键词：Deformable template; Orthogonal curve; ;Polygonal object; Matching; Genetic algorithm