Review of Techniques used for Content based Image Retrieval

Now-a-days in research field Content-Based Image Retrieval has gained a significant importance. As collections of images are growing at a rapid rate, need of effective tools for retrieval of query images from database has increased significantly. Among them, content-based image retrieval systems (CBIR) have become very much popular. Content Based Image Retrieval method uses various visual features of image such as color, shape, texture, etc., it thus provide a way to find images in large databases by using unique descriptors. This paper reviews various CBIR methods. Also we propose a CBIR method that uses a combination of wavelet transform and color histogram that increases the efficiency and performance of the CBIR which can further determined by experimental results. Keywords— Content Based Image Retrieval, Color, Texture, shape, Color Histogram, Color Spaces, Quantization, Similarity Matching, Wavelet Transform.

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