Ozet�e-Bu !;ah�mada, Fundus Floresein Anjiografi (FFA) yontemi ile elde edilen retina goriintiileri iizerinde Ya�a Bagh Makula Dejenerasyonu (YBMD) hastahgmm Bilgisayar Destekli Tespit (BDT) i�leminin ger!;ekle�tirilmesi ama!;lanml�tlr. Toplam 87 goriintii kullamlarak olu�turulan veri seti iizerinde BDT ile hastahk tespit i�lemleri ger!;ekle�tirilmi�tir. Yapllan !;ah�manm amaCI, geli�tirilen BDT sistemi ile YBMD hastahgmdan etkilenen ilgili bOigelerin (iB) i�aretlenerek, bu bOigelerin tespit edilmesini saglamaktlr. Boylelikle, i�aretlenen bOigelerin goz hekimleri tarafmdan daha klsa siirede degerlendirilmesi ve hasta takibini kolayla�tlrmasl miimkiin olacaktlr. BDT sisteminin on i�leme a�amasmda morfoloik goriintii i�leme, boIii tleme a�amasmda sobel kenar algllama filtresi, iB'lerin belirlenmesi a�amasmda !;Ikanlan ozelliklere gore iB olabilecek bOigelerin tespiti ve karar verme a�amasmda optik diskin eliminasyonu yapllarak, ilgili bOige olarak etiketlenmi� yapmm belirlenmesi i�lemleri ger!;ekle�tirilmi�tir. Geli�tirilen BDT sistemi ile elde edilen sonu!;lar uzman bir goz hekimi tarafmdan kontrol edilerek, BDT sisteminin elde ettigi performans kriterleri sonu!; olarak belirtilmi�tir. Sonu!; olarak, 74 (DP ve DN) dogru tespit, 13 (YP ve YN) yanh� tespit sonucu, geli�tirilen BDT sistemi ile %85,05 dogruluk yiizdesine ula�llml�tlr. Anahtar Kelimeler -YBMD; BDT sistemi; medikal goriintii i!jleme; morfolojik yapllandlrma. Abstract-This work aims to realize Age related macular degeration (ARMD) detection process on the retinal images obtained by the Fundus Floresein Angiography (FFA). Critic area process has been performed by Computer Aided Detection (CAD) system which was detected on data sets generated with the use of 87 images of total. The purpose of this work, regions of interest affected by ARMD disease is to provide detection with CAD system. Thus, monitoring of the treatment of the patient can be made by doctors labeled on retinal images. This study intends to provide the detection of ARMD by separating structure like blood vessels, optic disc from retinal images using pre-processing techniques as bands of color separation, histogram processes of images. In CAD pre-processing stage the areas that can be ARMD are 978-1-4799-4874-1114/$31.00 ©2015 IEEEmade to be more clearer and sharpener and edge filters and dilation algorithms are used to perform successful segmentation process. At the end of the pre-processing and segmentation stages, regions of interest are labeled based on feature extracted. Regions of interest are issued to characteristics, optic disc has been eliminated by the algorithm developed. In the final stage the regions of interest are labeled according to these features. Accuracy of system is tested by ophthalmologist as controlling the ARMD and healthy retinal images labeled by CAD process. Finally, 74 (TP and TN) positive, 13 (FP and FN) negative results in detection were reached with the developed CAD system. In detection of ARMD study, using performance evaluation criteria, the accuracy of th...

This study proposes an ontology-based system which takes the non-structured/semi-structured heterogeneous TV content in heterogeneous Web resources and converts it to the structured form in a semantic data model. The TV content is discovered and redefined after aligning in semantic base according to client requirements by a semantic search agent. Through a system that is intuitive and semantic, semantic based matchmaking is applied between the concepts of required TV content information and related heterogeneous Web resources. By this study, a search assistant system which makes semantic searching in TV Web content, will be designed to satisfy user needs. As a result, the system architecture is proposed based on the TV domain ontology base facilitating personalized access to heterogeneous TV contents of Web documents.