Published Paper Details:

To find an image from large database is implemented by CBIR technique. An image has three main features such as color, texture and shape. The proposed scheme is effectively searching images by using feature extraction. Dominant color descriptor is used in image indexing and dominant color extraction. By using Gray Level Co-occurrence Matrix (GLCM), texture of an image is obtained. Color and texture features are normalized. Using Gradient Vector Flow fields, shape information is captured in terms of edge images computed. A robust feature set for image retrieval is provided by using the combination of the color, shape and texture features. In retrieving the similar images, weighted Euclidean distance of color, texture and shape features are used. To classify relevant and irrelevant images in this retrieval process, support vector machine is used. This technique is simply displayed relevant images that are similar to a query image.