Abstract
Content-Based Image Retrieval (CBIR), also known as query by image content (QBIC) Content-based image retrieval (CBIR) system helps users to retrieve relevant images based on their contents. Content Based Image Retrieval (CBIR) technologies provide a method to find images in large databases by using unique descriptors from a trained image. The image descriptors include texture, color, intensity and shape of the object inside an image. In this paper, we compare the several feature extraction techniques viz., Gabor, Wavelet and Histogram over color and texture features applied in a novel way for color image and used for CBIR. The experiments which show that the Gabor filters advice promising results are reported. General Terms Image Processing, CBIR.
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