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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Esmaeili, M. Rabbani, H. Dehnavi, A.M. Dehghani, A. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Biomedical Engineering, Iran (Esmaeili, M.; Rabbani, H.; Dehnavi, A.M.) || Department of Ophthalmology, Isfahan University of Medical Sciences, Iran (Dehghani, A.) |
| Abstract | Efficient optic disk (OD) localization and segmentation are important tasks in automated retinal screening. In this paper, we take digital curvelet transform (DCUT) of the enhanced retinal image and modify its coefficients based on the sparsity of curvelet coefficients to get probable location of OD. If there are not yellowish objects in retinal images or their size are negligible, we can then directly detect OD location by performing Canny edge detector to reconstructed image with modified coefficients. Otherwise, if the size of these objects is eminent, we can see circular regions in edge map as candidate regions for OD. In this case, we use some morphological operations to fill these circular regions and erode them to get final locations for candidate regions and remove undesired pixels in edge map. Finally, we choose the candidate region that has maximum summation of pixels in strongest edge map that obtained by performing threshold to curvelet-based enhanced image, as final location of OD. This method has been tested on different retinal image datasets and quantitative results are presented. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 8577335 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424453795 |
| DOI | 10.1109/ITAB.2009.5394299 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-04 |
| Publisher Place | Cyprus |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical detectors Retina Image edge detection Object detection Image segmentation Image reconstruction Morphological operations Pixel Performance evaluation Testing morphological operations optic disk retinal images curvelet transform |
| Content Type | Text |
| Resource Type | Article |
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