CBIR based on color and low-level texture features

Authors:
Ryszard S. Choraś
Affiliations:
University of Technology & LS, Bydgoszcz
Venue:
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
Year:
2007

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Abstract

Content-based image retrieval systems allow the user to interactively search image databases looking for those images which are similar to a specified query image. Similarity between images is then assessed by computing similarity between feature vectors. These features are represented in the vector form, and often are combined together. This paper explores image retrieval mechanisms based on a combination of texture and color features. Texture features are extracted using the Gabor filters analysis. Color moments are used as color features.