WAN Shouhong, JIN Peiquan, XIA Yu, YUE Lihua. Incorporating Spatial Distribution Feature with Local Patterns for Content-Based Image Retrieval[J]. Chinese Journal of Electronics, 2016, 25(5): 873-879. doi: 10.1049/cje.2016.06.010
Citation: WAN Shouhong, JIN Peiquan, XIA Yu, YUE Lihua. Incorporating Spatial Distribution Feature with Local Patterns for Content-Based Image Retrieval[J]. Chinese Journal of Electronics, 2016, 25(5): 873-879. doi: 10.1049/cje.2016.06.010

Incorporating Spatial Distribution Feature with Local Patterns for Content-Based Image Retrieval

doi: 10.1049/cje.2016.06.010
Funds:  This work is supported by the National Natural Science Foundation of China (No.61272317), and the General Program of Natural Science Foundation of AnHui of China (No.1208085MF90).
  • Received Date: 2014-08-10
  • Rev Recd Date: 2015-01-20
  • Publish Date: 2016-09-10
  • Local patterns record the gray-level differences between a referenced pixel in an image and its surrounding pixels, which have been commonly used to describe the image features. However, traditional local patterns ignore the spatial distribution feature of texture information in images. We group the gray-level variations along three directions, i.e., horizontal, vertical, and diagonal directions. Each group is then merged into a Local spatial distribution pattern (LSDP) to represent the spatial distribution image feature.We also construct the LSDP patterns for gradient and filtered images, and finally form the Complete local spatial distribution pattern (CLSDP) descriptor to completely describe the texture image feature. Experiments on textural and natural image sets were conducted to compare our CLSDP-based image retrieval algorithm with four previous competitors. The results show that our method is superior to existing algorithms considering both average precision and recall.
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  • R. Datta, D. Joshi, J. Li, et al., "Image retrieval:Ideas, influences, and trends of the new age", ACM Computing Surveys (CSUR), Vol.40, No.2, pp.1-5, 2008.
    M. Douze, A. Ramisa and C. Schmid, "Combining attributes and fisher vectors for efficient image retrieval", 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.745-752, 2011.
    S. Murala, R.P. Maheshwari and R. Balasubramanian, "Local tetra patterns:A new feature descriptor for content-based image retrieval", IEEE Transactions on Image Processing, Vol.21, No.5, pp.2874-2886, 2012.
    T. Ojala, M. Pietikainen and T. Maenpaa, "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24, No.7, pp.971-987, 2002.
    W.H. Liao, "Region description using extended local ternary patterns", International Conference on Pattern Recognition, pp.1003-1006, 2010.
    G.H. Liu and J.Y. Yang, "Image retrieval based on the texton co-occurrence matrix", Pattern Recognition, Vol.41, No.12, pp.3521-3527, 2008.
    W. XIE, D. XU, Y. TANG, et al., "Mutual information based codebooks construction for natural scene categorization", Chinese Journal of Electronics, Vol.20, Vo.3, pp.419-424, 2011.
    H.A. Moghaddam, T.T. Khajoie and A.H. Rouhi, "A new algorithm for image indexing and retrieval using wavelet correlogram", Proceedings of International Conference on Image Processing, Vol.2, No.3, pp.497-500, 2003.
    M. Saadatmand-Tarzjan and H.A. Moghaddam, "A novel evolutionary approach for optimizing content-based image indexing algorithms", IEEE Transactions on Systems, Man, and Cybernetics, Part B:Cybernetics, Vol.37, No.1, pp.139-153, 2007.
    A. Ahmadian and A. Mostafa, "An efficient texture classification algorithm using Gabor wavelet", Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol.1, pp.930-933, 2003.
    B.S. Manjunath and W.Y. Ma, "Texture features for browsing and retrieval of image data", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.18, No.8, pp.837-842, 1996.
    M. Kokare, P.K. Biswas and B.N. Chatterji, "Texture image retrieval using rotated wavelet filters", Pattern Recognition Letters, Vol.28, No.10, pp.1240-1249, 2007.
    Z. Guo and D. Zhang, "A completed modeling of local binary pattern operator for texture classification", IEEE Transactions on Image Processing, Vol.19, No.6, pp.1657-1663, 2010.
    L. Nanni, A. Lumini and S. Brahnam, "Survey on LBP based texture descriptors for image classification", Expert Systems with Applications, Vol.39, No.3, pp.3634-3641, 2012.
    C.A. Hernández-Gracidas, L.E. Sucar and M. Montes-y-Gómez, "Improving image retrieval by using spatial relations", Multimedia Tools and Applications, Vol.62, No.2, pp.479-505, 2013.
    L. Li, B. Geng, Z. Zha, et al., "Query expansion by spatial cooccurrence for image retrieval", Proceedings of the 19th ACM International Conference on Multimedia, pp.1177-1180, 2011.
    Z. Guo and D. Zhang, "A completed modeling of local binary pattern operator for texture classification", IEEE Transactions on Image Processing, Vol.19, No.6, pp.1657-1663, 2010.
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