Multiresolution LBP Correlogram for Texture Image Indexing and Retrieval

Abstract:

A new image indexing and retrieval algorithm known as local binary pattern (LBP) correlogram is presented in this paper. LBP histogram captures only the patterns distribution in a texture while the spatial correlation between the pair of patterns is gathered by LBP correlogram. Multi-resolution texture decomposition and color correlation has been efficiently used in the proposed method where multi-resolution texture images are computed using Gaussian filter for collection of LBPs from these particular textures. Eventually, feature vectors are constructed by making into play the auto-correlation that exists between binary patterns. The retrieval results of the proposed method are examined on different texture image databases viz Brodatz database (DB1), MIT VisTex database (DB2), rotated Brodatz database (DB3) and small set of rotated Brodatz database (DB4), and shows a major improvement in terms of average retrieval rate as when weighed against with LBP histogram and some existing transform domain technique.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 908-914
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.908
• Online since: November 2011
• Authors: Subrahmanyam Murala, R. P. Maheshwari, R. Balasubramanian
• Keywords: Correlogram, Image Retrieval, Local Binary Pattern (LBP), Texture

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