Abstract
This paper proposes a new feature descriptor, edge orientation difference histogram (EODH) descriptor, which is a rotation-invariant and scale-invariant feature representation. The main orientation of each edge pixel is obtained through steerable filter and vector sum. Based on the main orientation, we construct the EODH descriptor for each edge pixel. Finally, we integrate the EODH and Color-SIFT descriptor, and build an effective image retrieval system based on weighted codeword distribution using the integrated feature descriptor. Experiments show that the codebook-based image retrieval method achieves the best performance on the given benchmark problems comparing to the state-of-the-art methods.
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