Use of wavelet transforms in segmentation of retinal angiography images
| dc.contributor.author | Debbou, Hanane | |
| dc.contributor.author | Megri, Abederrahim Fayçal | |
| dc.contributor.author | Ghennam, Souhaila | |
| dc.date.accessioned | 2025-04-20T16:03:51Z | |
| dc.date.available | 2025-04-20T16:03:51Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Medical imaging plays a very important role in the non-invasive visualization of anatomical components in humans. In this work we focus on the retinal fundus by studying retinal angiography images. An algorithm for the extraction of the vascular tree has been developed, based on the enhancement by means of the Shrearlet transform, then on the decomposition by the continuous wavelet transform via the Morlet wavelet to finally proceed to a segmentation based on the thresholding on histogram. | |
| dc.identifier.uri | http://dspace.univ-oeb.dz:4000/handle/123456789/21904 | |
| dc.language.iso | en | |
| dc.publisher | University of Oum El Bouaghi | |
| dc.title | Use of wavelet transforms in segmentation of retinal angiography images | |
| dc.type | Article |
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