Abstract
In this paper, HSV color histogram and local maximum edge binary patterns (LMEBP) joint histogram are integrated for content-based image retrieval (CBIR). The local region of image is represented by LMEBP, which are evaluated by taking into consideration the magnitude of local difference between the center pixel and its neighbors. This LMEBP differs from the existing LBP in a manner that it extracts the information based on distribution of edges in an image. Further, the joint histogram is constructed between uniform two rotational invariant first three LMEBP patterns. The color feature is extracted by calculating the histogram on hue (H), saturation (S), and value (V) spaces. The experimentation has been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiment is Corel-1K. The results after being investigated show a significant improvement in terms of their evaluation measures as compared to previously available spatial and transform domain methods on their respective databases.
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