Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases (대용량 이미지 데이터베이스를 위한 부분 노이즈제거를 지원하는 윤곽선 매칭 시스템 설계 및 구현)

Bum-Soo Kim (김범수); Kim,Jin-Uk (김진욱)

doi:10.9708/jksci.2019.24.05.035

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.

KEYWORDS

Boundary matching, Indexing, Partial denoising, Time-series matching, Data mining

Citation status

* References for papers published after 2023 are currently being built.

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[journal] B. -S. Kim / 2017 / Boundary Image Matching Supporting Partial Denoising Using Time-Series Matching Techniques / Multimedia Tools and Applications 76(6) : 8471~8496

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KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

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

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.