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Image Retrieval using Contourlet Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 34 - Number 5 |
| Year of Publication: 2011 |
| Authors: Swapna Borde, Dr. Udhav Bhosle |
10.5120/4102-5939
|
Swapna Borde, Dr. Udhav Bhosle . Image Retrieval using Contourlet Transform. International Journal of Computer Applications. 34, 5 ( November 2011), 37-43. DOI=10.5120/4102-5939
Abstract
The image retrieval problem has recently become more important and necessary because of the rapid growth of multimedia databases and digital libraries. Different search engines use different features to retrieve images from the database. In this paper, the Contourlet Transform is developed to retrieve similar images from the image database. By combining the Laplacian pyramid and the Directional Filter Bank (DFB), a new image representation is obtained. The direction subbands coefficients are used to form a feature vector for classification. The performance of the Contourlet Transform is evaluated using standard bench marks such as Precision and Recall. An experiment shows that the Contourlet Transform (CT) features provide the best results in Image Retrieval.
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