INDEXING AND RETRIEVAL OF COMPOUND COLOR OBJECTS USING CO-OCCURRENCE HISTOGRAMS OF COLOR AND WAVELET FEATURES

被引:1
|
作者
Hesson, Ali [1 ]
Androutsos, Dimitrios [1 ]
机构
[1] Ryerson Univ, Dept Elect & Comp Engn, Toronto, ON M5B 2K3, Canada
关键词
Wavelet transforms; Pattern recognition; Co-occurrence histograms; Image retrieval; indexing;
D O I
10.1109/ICIP.2008.4711915
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present a system for the retrieval and indexing of images of compound color objects. Compound color objects are objects that consist of a specific set of colors that are spatially arranged in a unique way. Examples of compound color objects include flags, trademarks, logos, and cartoons. In this paper, we apply our proposed technique to logos and trademarks. We introduces a 5-dimensional co-occurrence histogram that captures color and texture information simultaneously. We use the multi-resolution analysis feature with the Coiflet wavelet to capture the texture information in the image. We call this 5-dimensional histogram the Color Wavelet Co-occurrence Histogram(CWCH). We show that the CWCH performs better than the Edge Gradient Histogram (EGH) and the Color Edge Co-occurrence Histogram (CECH) and the MPEG-7 Edge Histogram Descriptor (EHD).
引用
收藏
页码:957 / 960
页数:4
相关论文
共 50 条
  • [41] Color texture classification by integrative Co-occurrence matrices
    Palm, C
    PATTERN RECOGNITION, 2004, 37 (05) : 965 - 976
  • [42] TEXTURE CLASSIFICATION WITH FUZZY COLOR CO-OCCURRENCE MATRICES
    Ledoux, Audrey
    Losson, Olivier
    Macaire, Ludovic
    2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2015, : 1429 - 1433
  • [43] Indexing and retrieval of color images using vector quantization
    Panchanathan, S
    Huang, CG
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXII, 1999, 3808 : 558 - 568
  • [44] Batik image retrieval based on color difference histogram and gray level co-occurrence matrix
    Minarno, Agus Eko
    Suciati, Nanik
    Telkomnika (Telecommunication Computing Electronics and Control), 2014, 12 (03) : 597 - 604
  • [45] Similarity-based retrieval of images using color histograms
    Chen, KS
    Demko, S
    Xie, RF
    STORAGE AND RETRIEVAL FOR IMAGE AND VIDEO DATABASES VII, 1998, 3656 : 643 - 652
  • [46] VISCOM: A robust video summarization approach using color co-occurrence matrices
    Mussel Cirne, Marcos Vinicius
    Pedrini, Helio
    MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 77 (01) : 857 - 875
  • [47] VISCOM: A robust video summarization approach using color co-occurrence matrices
    Marcos Vinicius Mussel Cirne
    Helio Pedrini
    Multimedia Tools and Applications, 2018, 77 : 857 - 875
  • [48] FINE-GRAINED PLANT LEAF IMAGE RETRIEVAL USING LOCAL ANGLE CO-OCCURRENCE HISTOGRAMS
    Chen, Xin
    You, Jiawei
    Tang, Hui
    Wang, Bin
    Gao, Yongsheng
    2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 1599 - 1603
  • [49] FACE RECOGNITION USING CO-OCCURRENCE HISTOGRAMS OF ORIENTED GRADIENTS
    Thanh-Toan Do
    Kijak, Ewa
    2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2012, : 1301 - 1304
  • [50] Using the co-occurrence of words for retrieval weighting
    Mittendorf, E
    Mateev, B
    Schäuble, P
    INFORMATION RETRIEVAL, 2000, 3 (03): : 243 - 251