Design and Implementation of a Partial Denoising Boundary Matching System Using Indexing Techniques

机译：使用索引技术的局部去噪边界匹配系统的设计与实现

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In this paper we design and implement a partial denoising boundary matching system using indexing techniques. Converting boundary images to time-series makes it feasible to perform fast search using indexes even on a very large image database. Thus, using this converting method we develop a client-server system based on the previous partial denoising research in the GUI environment. The client first converts a query image given by a user to a time-series and sends denoising parameters and the tolerance with this time-series to the server. The server identifies similar images from the index by evaluating a range query, which is constructed using inputs given from the client, and sends the resulting images to the client. Experimental results show that our system provides much intuitive and accurate matching result.

机译：在本文中，我们使用索引技术设计和实施部分去噪边界匹配系统。将边界图像转换为时间序列使得即使在非常大的图像数据库上也可以使用索引来执行快速搜索。因此，使用该转换方法，我们基于GUI环境中之前的部分去噪研究开发了客户服务器系统。客户端首先将用户给出的查询图像转换为时间序列，并将这种时间序列发送到服务器的去噪参数和公差。服务器通过评估范围查询来识别来自索引的类似图像，该范围查询使用来自客户端给出的输入构造，并将得到的图像发送到客户端。实验结果表明，我们的系统提供了大量直观和准确的匹配结果。

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《International conference on computer science and it applications;KIPS international conference on ubiquitous information technologies》|2020年|xxxi 636 p.|共6页
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Bum-Soo Kim; Jin-Uk Kim;
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中图分类计算技术、计算机技术;
关键词
Boundary matching; Time-series matching; Partial denoising;

机译：边界匹配;时间序列匹配;部分去噪;

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Design and Implementation of a Partial Denoising Boundary Matching System Using Indexing Techniques

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