International Journal of Computer Science Issues

More than a traditional journal...

Content-based image retrieval (CBIR) is the most commonly used method for searching large-scale medical image databases. Images are generally retrieved on the basis of either low level features, such as colour,texture and shape.Most texture based image retrieval systems are still incapable of providing better retrieval result through high retrieval accuracy and less computational complexity. To tackle this problem, we propose a texture based medical image retrieval using curvelet transform with mahalanobis distance measurement. We show that the texture features are extracted by using curvelet transform and statistical similarity measure is done by using mahalanobis distance . The proposed method gives a better retrieval rate . Experimental results on a database of 200 medical images show that the proposed method significantly gives better retrieval results.