Abstract Feature extraction and representation are important to the content-based image retrieval (CBIR). Color is one of the widely used visual features and it is invariant to image size and orientation. According to the opponent chromaticity space and Zernike moments, a color image retrieval using Zernike chromaticity distribution moments is proposed. Firstly, the image is transformed from RGB space to opponent chromaticity space. Then, the characteristics of the color contents of an image are captured by using Zernike chromaticity distribution moments directly from the chromaticity space. Finally, the similarity between color images is computed by Zernike chromaticity distribution moments. The experimental results show the effectiveness of the proposed algorithm in improving the retrieval performance.
[1] Datta R,Joshi D,Li Jia,et al.Image Retrieval: Ideas,Influences,and Trends of the New Age.ACM Computing Surveys,2008,40(2): 1-60 [2] Deselaers T,Keysers D,Ney H.Features for Image Retrieval: An Experimental Comparison.Information Retrieval,2008,11(2): 77-107 [3] Swain M J,Ballard D H.Color Indexing.International Journal of Computer Vision,1991,7(1): 11-32 [4] Jongan P,Youngeun A,Pankoo K.Quantization of Colors Using Median of Pixels for Color Correlogram // Proc of the 2nd International Conference on Technologies for E-Learning and Digital Entertainment.Hong Kong,China,2007: 723-729 [5] Arijit B,Bhargab B B,Malay K K.Euler Vector for Search and Retrieval of Gray-Tone Images.IEEE Trans on Systems,Man and Cybernetics,2005,35(4): 801-812 [6] Wang Xiangyang,Wu Junfeng,Yang Hongying .Robust Image Retrieval Based on Color Histogram of Local Feature Regions.Multimedia Tools and Applications,2010,49(2): 323-345 [7] Li Xuelong.Image Retrieval Based on Perceptive Weighted Color Blocks.Pattern Recognition Letters,2003,24(12): 1935-1941 [8] Phan R,Androutsos D.Color Logo and Trademark Retrieval and Tracking in Unconstrained Image Sequences Using Color Edge Gradient Co-Occurrence Histograms // Proc of the 22nd Canadian Conference on Electrical and Computer Engineering.Newfoundland,Canada,2009: 225-228 [9] Utenpattanant A,Chitsobhuk O,Khawne A.Color Descriptor for Image Retrieval in Wavelet Domain // Proc of the 8th International Conference on Advanced Communication Technology.Phoenix Park,USA,2006: 817-821 [10] Yap P T,Paramesran R.Content-Based Image Retrieval Using Legendre Chromaticity Distribution Moments.IEE Proc of Vision,Image and Signal Processing,2006,153(1): 17-24 [11] Yang N C,Chang Weihan,Kuo C M,et al.A Fast MPEG-7 Dominant Color Extraction with New Similarity Measure for Image Retrieval.Journal of Visual Communication and Image Retrieval,2008,19(2): 92-105 [12] Lin C H,Huang D C,Chan Y K.Fast Color-Spatial Feature Based Image Retrieval Methods.Expert Systems with Applications: An International Journal,2011,38(9): 11412-11420 [13] Phan R,Androutsos D.Content-Based Retrieval of Logo and Trademarks in Unconstrained Color Image Databases Using Color Edge Gradient Co-Occurrence Histograms.Computer Vision and Image Understanding,2010,114(1): 66-84 [14] Chen Weita,Liu Weichuan,Chen M S.Adaptive Color Feature Extraction Based on Image Color Distributions.IEEE Trans on Image Processing,2010,19(8): 2005-2016 [15] Fu Yanjun,Jiang Guangyu,Chen Fengying.Research of Image Retrieval Technology Based on Color Feature.Proc of SPIE,2009,7495: 47-54 [16] Chang C C,Wu Wenchuan,Hu Yuchen.Content-Based Color Image Retrieval System Using Color Difference Features // Proc of the 2nd International Conference on Future Generation Communication and Networking Symposia.Sanya,China,2008: 181-184 [17] Xing Qiang,Yuan Baozong,Tang Xiaofang.A Fast Image Retrieval Method Based on Weighted Chromaticity Histogram.Journal of Computer Research and Development,2005,42(11): 1903-1910 (in Chinese) (邢 强,袁保宗,唐晓芳.一种基于加权色彩直方图的快速图像检索方法.计算机研究与发展,2005,42(11): 1903-1910) [18] Min Rui,Cheng H D.Effective Image Retrieval Using Dominant Color Descriptor and Fuzzy Support Vector Machine.Pattern Recognition,2009,42(1): 147-157 [19] Borghesani D,Grana C,Cucchiara R.Color Features Performance Comparison for Image Retrieval // Proc of the 15th International Conference on Image Analysis and Processing.Vietri sul Mare,Italy,2009: 902-910 [20] Berens J,Finlayson G D,Hubel P M.A Statistical Image of Color Space // Proc of the 7th International Conference on Image Processing and Its Application.Manchester,UK,1999,I: 348-352 [21] Wood J.Invariant Pattern Recognition: A Review.Pattern Recognition,1996,29(1): 1-17
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