Image retrieval based on the texton co-occurrence matrix

被引：150
|
作者：
Liu, Guang-Hai [1 ]
Yang, Jing-Yu [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Dept Comp Sci, Nanjing 210094, Peoples R China
来源：
PATTERN RECOGNITION | 2008年 / 41卷 / 12期
关键词：
image retrieval; GLCM; color gradient; the texton co-occurrence matrix;
D O I：
10.1016/j.patcog.2008.06.010
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper put forward a new method of co-occurrence matrix to describe image features. This method can express the spatial correlation of textons. During the course of feature extracting, we have quantized the original images into 256 colors and computed color gradient from the RGB vector space, and then calculated the statistical information of textons to describe image features. Image retrieval experimental results have shown that our proposed method has the discrimination power of color, texture and shape features, the performances are better than that of GLCM and CCG. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3521 / 3527
页数：7
相关论文
共 50 条
  • [1] Image Retrieval Based on Weighted Block Color Histogram and Texton Co-occurrence Matrix
    Huang, Wenqing
    Dai, Jiazhe
    Wu, Qiang
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND MANAGEMENT INNOVATION, 2015, 28 : 848 - 853
  • [2] Improved approach for image retrieval based on generalized co-occurrence matrix
    Hong, Qingqi
    Wang, Beizhan
    Dong, Huailin
    Hong, Zhiling
    Li, Cuihua
    Chen, Bing
    Journal of Computational Information Systems, 2008, 4 (01): : 97 - 104
  • [3] An approach for image retrieval based on wavelet coefficient co-occurrence matrix
    Wang, Beizhan
    Hong, Qingqi
    Li, Cuihua
    Jiang, Qingshan
    Si, Liang
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3, 2008, : 320 - +
  • [4] Modified color co-occurrence matrix for image retrieval
    Chang, MH
    Pyun, JY
    Ahmad, MB
    Chun, JH
    Park, JA
    ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS, 2005, 3611 : 43 - 50
  • [5] Uyghur Document Image Retrieval based on Gray Gradient Co-occurrence Matrix
    Ubul, Kurban
    Yadikar, Nurbuya
    Amat, Ayxamgul
    Aysa, Alimjan
    Yibulayin, Tuergen
    2015 CHINESE AUTOMATION CONGRESS (CAC), 2015, : 762 - 766
  • [6] Dynamic Background Subtraction Using Texton Co-occurrence Matrix
    Panda, Deepak Kumar
    Meher, Sukadev
    2014 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2014,
  • [7] Image retrieval based on co-occurrence matrix using block classification characteristics
    Kim, TS
    Kim, SJ
    Lee, KI
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2005, PT 1, 2005, 3767 : 946 - 956
  • [8] Image retrieval using Weighted Color Co-occurrence Matrix
    Liang, D
    Yang, R
    Lu, JJ
    Chang, YC
    DATABASE: ENTERPRISE, SKILLS AND INNOVATION, PROCEEDINGS, 2005, 3567 : 161 - 165
  • [9] An image retrieval method on color primitive co-occurrence matrix
    Zhang, HengBo
    Ou, ZongYing
    Li, Guanhua
    ADVANCES IN NATURAL COMPUTATION, PT 2, 2006, 4222 : 526 - 529
  • [10] An Efficient Content Based Image Retrieval Using Edge Orientation Co-occurrence Matrix
    Gholipour, Farnaz
    Ebrahimnezhad, Hossein
    2014 6TH CONFERENCE ON INFORMATION AND KNOWLEDGE TECHNOLOGY (IKT), 2014, : 67 - 72
12345