Color and texture image retrieval using chromaticity histograms and wavelet frames

被引:92
作者
Liapis, S [1 ]
Tziritas, G [1 ]
机构
[1] Univ Crete, Dept Comp Sci, GR-71409 Iraklion, Crete, Greece
关键词
bhattacharya distance; color image similarity; discrete wavelet frames; texture retrieval;
D O I
10.1109/TMM.2004.834858
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we explore image retrieval mechanisms based on a combination of texture and color features. Texture features are extracted using Discrete Wavelet Frames (DWF) analysis, an over-complete decomposition in scale and orientation. Two-dimensional (2-D) or one-dimensional (1-D) histograms of the CIE Lab chromaticity coordinates are used as color features. The I-D histograms of the a, b coordinates were modeled according to the generalized Gaussian distribution. The similarity measure defined on the feature distribution is based on the Bhattacharya distance. Retrieval benchmarking is performed over the Brodatz album and on images from natural scenes, obtained from the VisTex database of MIT Media Laboratory and from the Corel Photo Gallery. As a performance indicator recall (relative number of correct images retrieved) is measured on both texture and color separately and in combination. Experiments show this approach to be as effective as other methods while computationally more tractable.
引用
收藏
页码:676 / 686
页数:11
相关论文
共 28 条
[1]  
[Anonymous], IEEE COMPUT
[2]   MULTICHANNEL TEXTURE ANALYSIS USING LOCALIZED SPATIAL FILTERS [J].
BOVIK, AC ;
CLARK, M ;
GEISLER, WS .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1990, 12 (01) :55-73
[3]  
BRODATZ P, 1966, PHOTOGRAPHIC ALBUM A
[4]   Texture analysis and classification with tree-structured wavelet transform [J].
Chang, Tianhorng ;
Kuo, C. -C. Jay .
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1993, 2 (04) :429-441
[5]  
FLICKNER M, 1995, IEEE COMPUT, V9, P23
[6]  
GUDIVADA VN, 1995, IEEE COMPUTER, V28
[7]   Visual information retrieval [J].
Gupta, A ;
Jain, R .
COMMUNICATIONS OF THE ACM, 1997, 40 (05) :70-79
[8]   TEXTURAL FEATURES FOR IMAGE CLASSIFICATION [J].
HARALICK, RM ;
SHANMUGAM, K ;
DINSTEIN, I .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06) :610-621
[9]   UNSUPERVISED TEXTURE SEGMENTATION USING GABOR FILTERS [J].
JAIN, AK ;
FARROKHNIA, F .
PATTERN RECOGNITION, 1991, 24 (12) :1167-1186
[10]   Texture classification using features derived from random field models [J].
Kashyap, R. L. ;
Chellappa, R. ;
Khotanzad, A. .
PATTERN RECOGNITION LETTERS, 1982, 1 (01) :43-50