Automatic Detection of Vascular Bifurcations and Crossovers in Retinal Fundus Image
The bifurcations and crossovers are important feature points, which play important roles in the analysis of the retinal vessel tree. More than 100 vascular bifurcations can be seen in a typical retinal fundus image. Their manual detection by a human observer is a tedious and time consuming process. This paper attempts to automate the detection of retinal vascular bifurcations and crossovers points and removing it from the image. We created a specific mask used to locate and recognize the nodes and crossover points in retinal fundus image. The results of implementing this proposed algorithm was reliable and very accurate.
Keywords: retinal, bifurcation, blood vessel, image processing, mask.
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ABOUT THE AUTHORS
Nidhal Khdhair El Abbadi
Nidhal El Abbadi, received BSc in Chemical Engineering, MSc, and PhD in computer science, worked in industry and many universities, he is general secretary of colleges of computing and informatics society in Iraq, Member of Editorial board of Journal of Computing and Applications, reviewer for a number of international journals, has many published papers and three published books (Programming with Pascal, C++ from beginning to OOP, Data structures in simple language), his research interests are in image processing, biomedical, and steganography, He’s Associate Professor in Computer Science in the University of Kufa – Najaf, IRAQ.
Enas Hamood Al-Saadi
Enas Hamood, received her BSc. in Computer science from Babylon University, Msc. in Computer science from Babylon University, currently she is PhD student in computer science department, college of science- Babylon University. Work as a lecturer in college of education- Babylon University. She has 6 researches in computer science fields.
Nidhal Khdhair El Abbadi
Nidhal El Abbadi, received BSc in Chemical Engineering, MSc, and PhD in computer science, worked in industry and many universities, he is general secretary of colleges of computing and informatics society in Iraq, Member of Editorial board of Journal of Computing and Applications, reviewer for a number of international journals, has many published papers and three published books (Programming with Pascal, C++ from beginning to OOP, Data structures in simple language), his research interests are in image processing, biomedical, and steganography, He’s Associate Professor in Computer Science in the University of Kufa – Najaf, IRAQ.
Enas Hamood Al-Saadi
Enas Hamood, received her BSc. in Computer science from Babylon University, Msc. in Computer science from Babylon University, currently she is PhD student in computer science department, college of science- Babylon University. Work as a lecturer in college of education- Babylon University. She has 6 researches in computer science fields.
