Content Based Image Retrieval System using Image Classification
نویسنده
چکیده
The efficient technique for image retrieval is Content Based Image Retrieval (CBIR) which retrieves images using image content. The image content is known as color, texture, shape and spatial information. Color feature is secure and liberates to rotation, translation and scale changes. The proposed CBIR system have a fused feature of 3*3 block color histogram and color cooccurrence matrix. The multidimensional indexing is used after the process of extracting color and spatial feature and stored the values of Hue, Saturation, Value, Color Histogram and Color co-occurrence matrix with the images for increasing retrieval speed. Further the Feature Matching algorithm is used to sort the similar images. Applying classification is used to reduce the images in the search space. So the images are classified and fixed numbers of images are to be retrieved.
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