A fuzzy query based image retrieval system

被引:0
|
作者
Nilufar, S [1 ]
Chen, L [1 ]
Kwan, HK [1 ]
机构
[1] Univ No British Columbia, Dept Comp Sci, Prince George, BC V2N 4Z9, Canada
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An interactive content-based visual image retrieval system that can retrieve image using fuzzy description of colors and textures is presented in this paper. Each image in the image database is represented by its visual features: color and textual information. User can pose query in terms of colors and textures using natural language. As humans are more comfortable of using linguistic terms without caring about the finer differences between classes, fuzzy queries can be useful to allow the incorporation of linguistic terms into descriptions of color and texture match degree. The experimental results demonstrate the effectiveness of our system for retrieving images from a large image database.
引用
收藏
页码:1017 / 1021
页数:5
相关论文
共 50 条
  • [31] Fuzzy hamming distance in a content-based image retrieval system
    Ionescu, M
    Ralescu, A
    2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS, 2004, : 1721 - 1726
  • [32] Fuzzy query processing for document retrieval based on extended fuzzy concept networks
    Natl Taiwan Univ of Science and, Technology, Taipei, Taiwan
    IEEE Trans Syst Man Cybern Part B Cybern, 1 (96-104):
  • [33] Fuzzy query processing for document retrieval based on extended fuzzy concept networks
    Chen, SM
    Horng, YJ
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1999, 29 (01): : 96 - 104
  • [34] A Intuitionistic fuzzy feature extraction for query image retrieval from colour images
    Babu, K. Suresh
    Kumar, R. Sukesh
    APPLIED ARTIFICIAL INTELLIGENCE, 2006, : 775 - +
  • [35] An Adaptive Fuzzy Clustering Method for Query-by-Multiple-Example Image Retrieval
    Zhao, Haifeng
    Jia, Wenhua
    SITIS 2007: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL IMAGE TECHNOLOGIES & INTERNET BASED SYSTEMS, 2008, : 997 - 1004
  • [36] Fuzzy query processing for document retrieval based on GFNGMA operators
    Chen, Shi-Jay
    Chen, Shyi-Ming
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2007, 13 (02): : 171 - 196
  • [37] Query Classification based Information Retrieval System
    Khin, Naw Thiri Wai
    Yee, Nyo Nyo
    2018 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS), 2018, : 151 - 156
  • [38] A new image retrieval system supporting query by semantics and example
    Han, JW
    Guo, L
    2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL III, PROCEEDINGS, 2002, : 953 - 956
  • [39] Semantic Document Retrieval System Using Fuzzy Clustering and Reformulated Query
    Murali, Dabbu
    Damodaram, Avula
    2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND APPLICATIONS (ICACEA), 2015, : 746 - 753