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| 003 | EG-GiCUC | ||
| 005 | 20250223031200.0 | ||
| 008 | 150323s2014 ua d f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.12.17.M.Sc.2014.Ha.I | ||
| 100 | 0 | _aHassan Abdelraouf Ahmed Ayad | |
| 245 | 1 | 0 |
_aInvestigation and integration of fuzzy Connectedness based image segmentation frameworks / _cHassan Abdelraouf Ahmed Ayad ; Supervised L. F. Abdelal , T. H. Farag |
| 246 | 1 | 5 | _aالبحث فى أنظمة تقسيم الصور المعتمدة على الترابطية الضبابية وتكاملها |
| 260 |
_aCairo : _bHassan Abdelraouf Ahmed Ayad , _c2014 |
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| 300 |
_a98 P. : _bcharts ; _c25cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics | ||
| 520 | _aImage segmentation is the process of dividing an image into meaningful objects. Fuzzy connectedness (FC) based methods usually give robust segmentation results. However, most of these methods su er from the weakness of leaking through poorly de ned boundary segments . One of these methods is the absolute or generalized fuzzy connectivity (GFC) method which has an additional weakness about determining the opti- mal threshold of the fuzzy connectedness scene. This threshold is usually selected manually rather than being automated | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aFuzzy Connectedness | |
| 653 | 4 | _aHybrid | |
| 653 | 4 | _aImage segmentation | |
| 700 | 0 |
_aLayla Fahmy Abdelal , _eSupervisor |
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| 700 | 0 |
_aTamer Hasham Farag , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aNazla _eRevisor |
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| 905 |
_aSoheir _eCataloger |
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| 942 |
_2ddc _cTH |
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_c49996 _d49996 |
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