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In the process of image retrieval, more information can be extracted by combining two or more features. Feature vectors based on local patterns are very popular in deriving the local information present in an image. Majority of these methods is mainly based on encoding the variation in gray scale values of center pixel and its neighboring elements. The center pixel is assigned a value which is reflected in a histogram. LBP operator became the first of its kind where the intensity value of center pixel is treated as threshold to capture the information by comparing with other neighbors. However, the information in directions is not explored in the method. The DLEPs are proposed to code the edge information mainly in four directions. The performance of directional local extrema patterns can be improved by taking the magnitude into consideration. In this paper, we propose a new feature vector for an image retrieval system by combing color and MDLEP. The results showed a significant improvement in terms of precision and recall.
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- Integration of Color and MDLEP as a Feature Vector in Image Indexing and Retrieval System
L. Koteswara Rao
D Venakata Rao
- Springer Singapore