Abstract
In this paper we propose a novel approach to color image retrieval. Color information is modeled using Gaussian mixtures and incorporates the information on the spatial distribution of the color image pixels utilizing the Dijkstra algorithm. The proposed algorithm has high indexing performance and operates on model of low dimensionality. Thus, the proposed method needs only the adjustment of Gaussian Mixture Model parameters for efficient color image retrieval. The proposed method is extensively tested on Corel and Wang dataset. The results demonstrate that proposed framework is more efficient than other methods when images are subjected to lossy coding such as JPEG method.
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Luszczkiewicz-Piatek, M., Smolka, B. (2015). Robust Image Retrieval Based on Mixture Modeling of Weighted Spatio-color Information. In: Choraś, R. (eds) Image Processing & Communications Challenges 6. Advances in Intelligent Systems and Computing, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-10662-5_11
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DOI: https://doi.org/10.1007/978-3-319-10662-5_11
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