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Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2019, 24(5), pp.35-40
  • DOI : 10.9708/jksci.2019.24.05.035
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 2, 2019
  • Accepted : April 25, 2019
  • Published : May 31, 2019

Bum-Soo Kim 1 Kim,Jin-Uk 1

1한국건설기술연구원

Accredited

ABSTRACT

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 a 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(graphical user interface) 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 many intuitive and accurate matching results.

Citation status

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