Author(s):
T. Jemima Jebaseeli, C. Anand Deva Durai
Email(s):
jemima_jeba@karunya.edu
DOI:
10.5958/0974-360X.2019.00005.2 
Address:
T. Jemima Jebaseeli1*, C. Anand Deva Durai2
1Assistant Professor, Department of Computer Sciences Technology, Karunya University, Coimbatore 641114, Tamilnadu, India.
2Assistant Professor, Department of Computer Science and Engineering, King Khalid University, Abha 61421, Saudi Arabia.
*Corresponding Author
Published In:
Volume - 12,
Issue - 1,
Year - 2019
ABSTRACT:
Diabetic Retinopathy (DR) occurs due to Type II diabetes. At the early stage, if it is identified one can save their vision. Later stage, retinal detachment leads to 100% vision loss. An automatic computer based system is needed for diagnosis. There are diverse tools and automatic and semi-automatic systems are available. But the system is not identifying and measuring the narrow blood vessels accurately, because of the noise and imaging problems. Also, while tracking the retinal vessel, the narrow vessels are equally taken into consideration as wider vessels. Thus the proposed segmentation and classification techniques extract the blood vessels and measure the profile features of fundus images obtained from dissimilar modalities significantly.
Cite this article:
T. Jemima Jebaseeli, C. Anand Deva Durai. Mechanism for Diabetic Retinal Blood Vessel Profile Measurement and Analysis on Fundus Images. Research J. Pharm. and Tech 2019; 12(1): 21-26. doi: 10.5958/0974-360X.2019.00005.2
Cite(Electronic):
T. Jemima Jebaseeli, C. Anand Deva Durai. Mechanism for Diabetic Retinal Blood Vessel Profile Measurement and Analysis on Fundus Images. Research J. Pharm. and Tech 2019; 12(1): 21-26. doi: 10.5958/0974-360X.2019.00005.2 Available on: https://rjptonline.org/AbstractView.aspx?PID=2019-12-1-5