Blood Vessel Extraction From Retinal Fundus Images Using Dip Techniques
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2019 by IJETT Journal|
|Year of Publication : 2019|
|Authors : K.Sruthi, J. Vijayakumar, L. Jeganson Durai
|DOI : 10.14445/22315381/IJETT-V67I6P214|
MLA Style: K.Sruthi, J. Vijayakumar, L. Jeganson Durai "Blood Vessel Extraction From Retinal Fundus Images Using Dip Techniques" International Journal of Engineering Trends and Technology 67.6 (2019): 73-78.
APA Style:K.Sruthi, J. Vijayakumar, L. Jeganson Durai (2019). Blood Vessel Extraction From Retinal Fundus Images Using Dip Techniques International Journal of Engineering Trends and Technology, 67(6), 73-78.
The segmentation of blood vessels present in the retinal fundus image has become one of the important parameter for determining the type of disease that have affected the human eye. The process of segmenting the retinal blood vessel is considered as tricky since it forms a complex network structure. This work presents a double threshold and non-maximum suppression based system for segmenting the blood vessels. This work was proposed for the DRIVE database. The preprocessing technique used in this work includes Butterworth filter for removing noise and histogram equalization for contrast enhancement. The performance of this algorithm is analyzed by calculating its sensitivity, specificity, and accuracy. The average accuracy obtained in this algorithm is 0.964745 and the average time taken for execution is 3.448s.
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Double Thresholding, Non-Maximum Suppression, Retinal Blood Vessels