Abstract

Content-Based Image Retrieval (CBIR) is a technique of recovering images from a database. In CBIR, a user identifies a query image and acquires the images in the dataset like to the query image. To find the most similar images, CBIR matches the content of the input image to the dataset images. In this paper, a new method has been presented for indexing and retrieving by means of shape feature. In feature extraction stage, which we named curvature histogram, first the explanation of shape is obtained using nonlinear diffusion filter. Then, the shape curves’ curvature is calculated. These curvatures produce a histogram which can be used as a feature. Image retrieval using this method improves the results on Corel database considerably.

Keywords:Content-based image retrieval; Shape feature; Curvature histogram