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Retinal Blood Vessels and Optical Disc Segmentation in Branch Retinal Vein Occluded Fundus Images Using Digital Image Processing Techniques


Affiliations
1 Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India
2 Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, India
3 Department of Electronics and Communication Engineering, S.R.Engineering College, Warangal, India
4 Department of Computer Science and Engineering, Shadan College of Engineering, Hyderabad, India
5 School of Electrical and Electronics, Sathyabama University, Chennai, India
     

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The segmentation of retinal blood vessels and optical disc is the most vital and challenging task to investigate the rigorousness of the various retinal diseases such as branch retinal vein occlusion. There are lot of methods and algorithms are developed to address this issue i.e., for the precise segmentation of optical disc and blood vessels. However, every method has its own pros and cons. Retinal vein occlusion (RVO) happens due to the obstruction (blockage) of veins transporting blood with required nutrients and oxygen to the nerve cells in the eye’s retina. An obstruction in any one of the four smaller branch veins is referred to as a branch retinal vein occlusion (BRVO). It is one of the main retinal illnesses next only to diabetic retinopathy. Our proposed approach is a simple image processing based detection of optical disc and retinal blood vessels of branch retinal vein occluded fundus images.

Keywords

Branch Retinal Vein Occlusion, Mathematical Morphology, Retinal Blood Vessel Segmentation, Optical Disc, Contrast Enhanced Adaptive Histogram Equalization, Median Filtering.
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  • Retinal Blood Vessels and Optical Disc Segmentation in Branch Retinal Vein Occluded Fundus Images Using Digital Image Processing Techniques

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Authors

P. Ganesan
Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India
B. S. Sathish
Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, India
L. M. I. Leo Joseph
Department of Electronics and Communication Engineering, S.R.Engineering College, Warangal, India
K. M. Subramanian
Department of Computer Science and Engineering, Shadan College of Engineering, Hyderabad, India
V. Kalist
School of Electrical and Electronics, Sathyabama University, Chennai, India
K. Vasanth
Department of Electronics and Communication Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India

Abstract


The segmentation of retinal blood vessels and optical disc is the most vital and challenging task to investigate the rigorousness of the various retinal diseases such as branch retinal vein occlusion. There are lot of methods and algorithms are developed to address this issue i.e., for the precise segmentation of optical disc and blood vessels. However, every method has its own pros and cons. Retinal vein occlusion (RVO) happens due to the obstruction (blockage) of veins transporting blood with required nutrients and oxygen to the nerve cells in the eye’s retina. An obstruction in any one of the four smaller branch veins is referred to as a branch retinal vein occlusion (BRVO). It is one of the main retinal illnesses next only to diabetic retinopathy. Our proposed approach is a simple image processing based detection of optical disc and retinal blood vessels of branch retinal vein occluded fundus images.

Keywords


Branch Retinal Vein Occlusion, Mathematical Morphology, Retinal Blood Vessel Segmentation, Optical Disc, Contrast Enhanced Adaptive Histogram Equalization, Median Filtering.

References