Abstract

In this paper, a new algorithm known as Line Edge Binary Pattern (LEBP) is proposed for Content-Based Image Retrieval (CBIR). The proposed method represents the local region of an image based on the distribution of line edges in contrast to Local Binary Patterns (LBPs). LBPs extract information based on the distribution of point edges which are evaluated by taking into consideration local differences between the centre pixel and its neighbours in an image. The retrieval results of the proposed method are tested on Corel 1000 and Corel 2450 image databases in terms of precision and recall. The results after being investigated show a significant improvement in terms of precision and recall as compared to LBP and other existing spatial and transform domain methods.

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