COLOR TEXTURED IMAGE RETRIEVAL BY COMBINING TEXTURE AND COLOR FEATURES

被引：0
|
作者：
Bai, Cong [1 ,2 ]
Kpalma, Kidiyo [1 ,2 ]
Ronsin, Joseph [1 ,2 ]
机构：
[1] Univ Europeenne Bretagne, Rennes, France
[2] INSA Rennes, IETR, UMR 6164, F-35708 Rennes, France
来源：
2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2012年
关键词：
Content-based image retrieval; DCT; color; texture;
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：
A new approach for color textured image retrieval based on the combination of color and texture features is proposed. The features are extracted in DCT domain. For texture featuring, Texture-Pattern is proposed to be constructed by using three groups of AC coefficients of each DCT block from the luminance component. And for color featuring, LumaColor-Pattern is constructed by using the DC coefficients from the luminance and chroma components. The histograms of dominant components of these two patterns are constructed and their combination is used for image retrieval. Experimental results on VisTex database have shown that the proposed method yields higher performance than referred approaches which are reported in recently published literature.
引用
收藏
页码：170 / 174
页数：5
相关论文
共 50 条
  • [1] Combining color and texture features for image retrieval
    Wang, Guiting
    Tian, Baobao
    Jiao, Licheng
    [J]. MIPPR 2007: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS; AND MULTISPECTRAL IMAGE ACQUISITION, PTS 1 AND 2, 2007, 6786
  • [2] Research on Clothing Image Retrieval Combining Topology Features with Color Texture Features
    Zhang, Xu
    Sun, Huadong
    Ma, Jian
    [J]. MATHEMATICS, 2024, 12 (15)
  • [3] Color and Texture Features for Image Indexing and Retrieval
    Murala, Subrahmanyam
    Balaji, Anil
    Maheshwari, Gonde R. P.
    [J]. 2009 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE, VOLS 1-3, 2009, : 1411 - 1416
  • [4] Image Retrieval based on Color and Texture Features
    Chen, Xiuxin
    Zheng, Ya
    Yu, Chongchong
    Gao, Cheng
    [J]. 2013 NINTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2013), 2013, : 403 - 406
  • [5] Color and Texture Features Based Image Retrieval
    Lin, Ching I.
    Su, Ching-Hung
    Tai, Shih-Hung
    [J]. MACHINERY ELECTRONICS AND CONTROL ENGINEERING III, 2014, 441 : 707 - +
  • [6] Combining Color and Shape Features for Image Retrieval
    Lee, XiaoFu
    Yin, Qian
    [J]. UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: APPLICATIONS AND SERVICES, PT III, 2009, 5616 : 569 - 576
  • [7] Intelligent Image Retrieval Using Texture and Color Features
    Chen, Jui-Chi
    Chen, Chin-Chou
    Chuang, Cheng-Hung
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW), 2019,
  • [8] Plant Image Retrieval Using Color and Texture Features
    Kebapci, Hanife
    Yanikoglu, Berrin
    Unal, Gozde
    [J]. 2009 24TH INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES, 2009, : 82 - 87
  • [9] An Image Retrieval Method Based on Color and Texture Features
    刘伟节
    胡剑凌
    许成亮
    [J]. Journal of Shanghai Jiaotong University(Science), 2006, (04) : 537 - 542
  • [10] Image Retrieval Algorithm Based on Texture and Color Features
    Yu Cai-xiang
    Qiu Shu-bo
    [J]. 2009 WASE INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING, ICIE 2009, VOL I, 2009, : 125 - 128
12345