Content Based Image Retrieval Using Gabor Texture Feature and Color Histogram
نویسنده
چکیده
In this paper, we present content based image retrieval using two features color and texture. Humans tend to differentiate images based on color, therefore color features are mostly used in CBIR. Color histogram is mostly used to represent color features but it cannot entirely characterize the image. Color Histogram is also rotation invariant about the view axis. Regularity, directionality, smoothness and coarseness are some of the texture properties perceived by human eye. Gabor filter, a tool for texture feature extraction has proved to be very effective in describing visual content via multi-resolution analysis. Texture feature extraction based on Gabor filter is used for CBIR.
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