144 0

Object-Based Image Retrieval Using Color Adjacency and Clustering Method

Title
Object-Based Image Retrieval Using Color Adjacency and Clustering Method
Author
문영식
Keywords
object-based image retrieval; color adjacency; clustering; region of interest
Issue Date
2004-07
Publisher
대한전자공학회
Citation
ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications, Page. 208-211
Abstract
This paper proposes an object-based image retrieval scheme using color adjacency and clustering method. Color adjacency features in boundary regions are utilized to extract candidate blocks of interest from image database and a clustering method is used to extract the regions of interest from candidate blocks of interest. To measure the similarity between the query and database images, the histogram intersection technique is used. The color pair information used in the proposed method is robust against translation, rotation, and scaling. Consequently, experimental results have shown that the proposed scheme is superior to existing methods in terms of ANMRR.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01737970&language=ko_KRhttps://repository.hanyang.ac.kr/handle/20.500.11754/149423
Appears in Collections:
COLLEGE OF COMPUTING(소프트웨어융합대학)[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE