A study of image retrieval based on Hough transform

Content-based image retrieval is an important research area in digital libraries and multimedia databases. In this paper, we present a novel image retrieval method based on improved Hough transform. First, we developed a new general method of acceleration of the convergence of the Hough transform based. It works on an improvement of the image analysis speed as well as the space undersampling of the image. This method is used in image processing to extract lines, circles, ellipses or arbitrary shapes. Then, a similarity measure is introduced, and used to compare the similarity of the query image with the images in the database. Finally, the best matches are returned in similarity order. The presented approach is easy to implement and can be efficiently applied to retrieve images. Experimental results show that our method is well.