Investigation and integration of fuzzy Connectedness based image segmentation frameworks / Hassan Abdelraouf Ahmed Ayad ; Supervised L. F. Abdelal , T. H. Farag
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TextLanguage: English Publication details: Cairo : Hassan Abdelraouf Ahmed Ayad , 2014Description: 98 P. : charts ; 25cmOther title: - البحث فى أنظمة تقسيم الصور المعتمدة على الترابطية الضبابية وتكاملها [Added title page title]
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.12.17.M.Sc.2014.Ha.I (Browse shelf(Opens below)) | Not for loan | 01010110064989000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.12.17.M.Sc.2014.Ha.I (Browse shelf(Opens below)) | 64989.CD | Not for loan | 01020110064989000 |
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Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics
Image 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
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