@inproceedings{scholars667,
             doi = {10.1109/CITISIA.2009.5224176},
         address = {Kuala Lumpur},
           title = {Segmentation of retinal vasculature in colour fundus images},
            note = {cited By 14; Conference of 2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009 ; Conference Date: 25 July 2009 Through 26 July 2009; Conference Code:78109},
         journal = {2009 Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2009},
            year = {2009},
           pages = {398--401},
        keywords = {Active contour model; Automated segmentation; Computer-based approach; Digital image analysis; Fundus image; Fundus images; Graphic user interface; Medical experts; Morphological transformations; Retinal image; Retinal vasculature; Retinal vessels; Vessel segmentation, Blood vessels; Diagnosis; Eye protection; Image analysis; Image enhancement; Industrial applications; Intelligent systems, Ophthalmology},
          author = {Kee, Y. P. and Lila, I. I. and Ahmad, F. M. H. and Hanung, A. N. and Hermawan, N. and Vijanth, S. A.},
            isbn = {9781424428878},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449098011&doi=10.1109\%2fCITISIA.2009.5224176&partnerID=40&md5=2a33ed837ba00af730b77526373103b7},
        abstract = {Characteristic of retinal vasculature has been an important indicator for many diseases such as hypertension and diabetes. A digital image analysis system can assist medical experts to make accurate diagnosis in an efficient manner. This paper presents the computer based approach to the automated segmentation of blood vessels in retinal images. The detection of the retinal vessel is achieved by performing image enhancement using CLAHE followed by Bottomhat morphological transformation. Active contour model (snake) is then used to segment out the detected retinal vessel and produce a complete retinal vasculature. A Graphic User Interface (GUI) has also been created to ease the user for the segmentation of the retinal vasculature. {\^A}{\copyright} 2009 IEEE.}
}