IIIT Hyderabad Publications |
|||||||||
|
A Bag of Words Approach for Discriminating between Retinal Images Containing Exudates or DrusenAuthors: M J J P Van Grinsven,Arunava Chakravarty,Jayanthi Sivaswamy,T Theelen,B Van Ginneken,C I Sanchez Conference: IEEE 10th International Symposium on Biomedical Imaging : From Nano to Macro, 07-11 April. 2013, San Franciso,CA,USA. (ISBI 2013 2013) Date: 2013-04-07 Report no: IIIT/TR/2013/66 AbstractPopulation screening for sight threatening diseases based on fundus imaging is in place or being considered worldwide. Most existing programs are focussed on a specific disease and are based on manual reading of images, though automated im- age analysis based solutions are being developed. Exudates and drusen are bright lesions which indicate very different diseases, but can appear to be similar. Discriminating be- tween them is of interest to increase screening performance. In this paper, we present a Bag of Words approach which can be used to design a system that can play the dual role of con- tent based retrieval (of images with exudates or drusen) sys- tem and a decision support system to address the problem of bright lesion discrimination. The approach consists of a novel partitioning of an image into patches from which color, tex- ture, edge and granulometry based features are extracted to build a dictionary. A bag of Words approach is then employed to help retrieve images matching a query image as well as de- rive a decision on the type of bright lesion in the given (query) image. This approach has been implemented and tested on a combination of public and local dataset of 415 images. The area under the curve for image classification is 0.90 and re- trieved precision is 0.76. Full paper: pdf Centre for Visual Information Technology |
||||||||
Copyright © 2009 - IIIT Hyderabad. All Rights Reserved. |