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http://dspace.univ-temouchent.edu.dz/handle/123456789/2717Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | HORCH, Imene | - |
| dc.contributor.author | TAOULI, Chahrazed | - |
| dc.date.accessioned | 2024-02-27T15:24:17Z | - |
| dc.date.available | 2024-02-27T15:24:17Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.citation | https://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=1927 | en_US |
| dc.identifier.uri | http://dspace.univ-temouchent.edu.dz/handle/123456789/2717 | - |
| dc.description.abstract | Segmentation has become a fundamental step for the quantitative analysis of images in many brain diseases such as Cerebral Vascular Accident stroke ' . In this dissertation we develop methods for detection and removal of this condition which is based on derivates operators then active contour as : snake and level set and we will finish with a method proposed by us which combines with Level set methods derivates . The algorithms developed in this work are tested on a set of brain images . | en_US |
| dc.subject | MRI image, stroke, Segmentation Active Contour Snake Level set | en_US |
| dc.title | Segmentation des images médicales par contour actif | en_US |
| Appears in Collections: | Electronique | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Segmentation des images médicales par contour actif.pdf | 730,29 kB | Adobe PDF | View/Open |
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