000			01916cam a2200337 a 4500
003			EG-GiCUC
005			20250223031331.0
008			151107s2015 ua dh f m 000 0 eng d
040			_aEG-GiCUC _beng _cEG-GiCUC
041	0		_aeng
049			_aDeposite
097			_aM.Sc
099			_aCai01.13.03.M.Sc.2015.Sa.H
100	0		_aSara Saeed Mohamed Mohamed Abdeldayem
245	1	0	_aHybrid vascular tree extraction from angiography images / _cSara Saeed Mohamed Mohamed Abdeldayem ; Supervised Yasser Kadah , Inas A. Yassine
246	1	5	_aاستخراج شجرة الاوعية الدموية للصور الاشعاعية
260			_aCairo : _bSara Saeed Mohamed Mohamed Abdeldayem , _c2015
300			_a84 P. : _bcharts , facsimiles ; _c30cm
502			_aThesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of System and Biomedical Engineering
520			_aWe introduce a fast, simple, and an automatic hybrid approach, which extracts the vascular structures. First, we introduce the hybrid filter that merges a vessel enhancement and a bifurcation detectors filters. Second, we integrate this hybrid filter with a digital wave propagation system by mapping the filtered image to a cost image. A set of 40 fundus retinal images were used to study the enhancement gained by the hybrid filter and the wave propagation compared to the vessel filters. The results of comparison show an enhancement up to 10%,15%, and 50% in the dice coefficient, sensitivity and the response at bifurcation locations respectively
530			_aIssued also as CD
653		4	_aFilter
653		4	_aHybrid
653		4	_aScale-space
700	0		_aInas Ahmed Mohamed Yassine , _eSupervisor
700	0		_aYasser Mostafa Ibrahim Kadah , _eSupervisor
856			_uhttp://172.23.153.220/th.pdf
905			_aNazla _eRevisor
905			_aSoheir _eCataloger
942			_2ddc _cTH
999			_c53137 _d53137