The Blood Vasculature of the Retina Using Routine Segmentation

ABSTRACT

Biomedical imaging has helped the medical practitioners to facilitate treatments faster and more accurate than conventional methods. Automated technologies suffice the default preprocessing and identification from the images of the retina and their vessel vascular network. Human retinal diseases, leading to blindness, will be identified by the segmentation of blood vessels to enhance the statistical accuracy of intra-retinal layer thickness. This proposal overcomes the drawbacks of traditional angiogram techniques by coloring the retinal paths by fluorescent dyes. From the obtained results, automated segmentation by using the proposed technique has improved then compared methodologies. Employing Gabor filters in the preprocessing functions, elimination of false positives is greatly achieved with some modifications. The followed processes divide the retinal images into linear and curvature segments after implying Gabor constraints to obtain a predicted trajectory of vessels. Limiting the major chances of false positives and better vessel construction in this automated proposal are proved and discussed.

KEYWORDS:

• Gabor filter
• Retinal Images
• Spatial Filtering
• Thresholding
• Vessel characteristics
• Vessel Segmentation

Additional information

Notes on contributors

C. R. Dhivyaa

C R Dhivyaa has received her BTech degree in information technology from Vellalar College of Engineering and Technology affiliated to Anna University, Chennai and MTech degree in information technology from Sasurie College of Engineering affiliated to Anna University, Chennai in 2010 and 2012, respectively. She has completed PhD degree in information and communication engineering, Anna University, Chennai in 2019. She is currently working as an assistant professor in the Department of Computer Science and Engineering at Nandha College of Technology, Erode. Her current research interests include computer vision, image processing, medical imaging, machine learning, and pattern recognition. She has published many research papers in various national, international journals and conferences. She has in-depth knowledge of her research areas.

M. Vijayakumar

M Vijayakumar has received his bachelor degree in computer science and engineering from Maharaja Engineering College affiliated to Bharathiar University, Coimbatore and master degree in computer science and engineering from KSR College of Technology affiliated to Anna University, Chennai and PhD degree in information and communication engineering from Anna University, Chennai. He is currently working as a professor and principal at Nandha College of Technology, Erode. His current research interests include data mining, network security, wireless networks and cloud computing. He has published his research papers in 8 national and 11 international journals. He has in-depth knowledge in his research areas. Email: [email protected]