Title: Detection of bifurcations and cross-over points from retinal vasculature map using modified window feature-point detection approach

Authors: Meenu Garg; Sheifali Gupta; Soumya Ranjan Nayak

Addresses: Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India ' Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India ' Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India

Abstract: Identification of feature points such as bifurcation points and cross-over points in retinal fundus images is useful for predicting the various cardiovascular diseases. In this paper, a new approach called the Modified Window Feature-point Detection (MWFD) is proposed to identify the vascular feature points in the fundus image. The MWFD technique makes use of two different windows 3×3 and 5×5 with alternative vessel pixel property for the detection of all feature points. This paper also resolves the problem of conversion of one cross-over point into two bifurcation points generated due to skeletonisation. The simulation is performed on the DRIVE database using MATLAB software. Simulation results show quantitative improvements in detection of feature points from retinal fundus image by increasing the number of true positives and reducing false positives and false negatives. These results provide an efficient and reliable technique for analysis of various retinal structures.

Keywords: fundus image; retinal vasculature map; feature point; bifurcation point; cross-over point; retinal detachment.

DOI: 10.1504/IJCAT.2020.10034801

International Journal of Computer Applications in Technology, 2020 Vol.64 No.4, pp.361 - 374

Received: 25 Apr 2020
Accepted: 18 May 2020

Published online: 28 Jan 2021 *

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