@article{ART002467565},
author={Bum-Soo Kim and Kim,Jin-Uk},
title={Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={5},
pages={35-40},
doi={10.9708/jksci.2019.24.05.035}
TY - JOUR
AU - Bum-Soo Kim
AU - Kim,Jin-Uk
TI - Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 5
PB - The Korean Society Of Computer And Information
SP - 35
EP - 40
SN - 1598-849X
AB - 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.
KW - Boundary matching;Indexing;Partial denoising;Time-series matching;Data mining
DO - 10.9708/jksci.2019.24.05.035
ER -
Bum-Soo Kim and Kim,Jin-Uk. (2019). Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases. Journal of The Korea Society of Computer and Information, 24(5), 35-40.
Bum-Soo Kim and Kim,Jin-Uk. 2019, "Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases", Journal of The Korea Society of Computer and Information, vol.24, no.5 pp.35-40. Available from: doi:10.9708/jksci.2019.24.05.035
Bum-Soo Kim, Kim,Jin-Uk "Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases" Journal of The Korea Society of Computer and Information 24.5 pp.35-40 (2019) : 35.
Bum-Soo Kim, Kim,Jin-Uk. Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases. 2019; 24(5), 35-40. Available from: doi:10.9708/jksci.2019.24.05.035
Bum-Soo Kim and Kim,Jin-Uk. "Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases" Journal of The Korea Society of Computer and Information 24, no.5 (2019) : 35-40.doi: 10.9708/jksci.2019.24.05.035
Bum-Soo Kim; Kim,Jin-Uk. Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases. Journal of The Korea Society of Computer and Information, 24(5), 35-40. doi: 10.9708/jksci.2019.24.05.035
Bum-Soo Kim; Kim,Jin-Uk. Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases. Journal of The Korea Society of Computer and Information. 2019; 24(5) 35-40. doi: 10.9708/jksci.2019.24.05.035
Bum-Soo Kim, Kim,Jin-Uk. Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases. 2019; 24(5), 35-40. Available from: doi:10.9708/jksci.2019.24.05.035
Bum-Soo Kim and Kim,Jin-Uk. "Design and Implementation of a Boundary Matching System Supporting Partial Denoising for Large Image Databases" Journal of The Korea Society of Computer and Information 24, no.5 (2019) : 35-40.doi: 10.9708/jksci.2019.24.05.035