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Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation

Abnormal changes in characteristics of retinal vascular will lead to many systemic diseases. Analysis of retinal blood vessel (RBV) can help the identification of these changes and allow patient to take early precaution. Segmentation of retinal blood vessel is the method of detecting blood vessel co...

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Main Author: Wan Nazirul Hafiz Bin Abdul Rani
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Language:English
Published: 2023
Subjects:
Vessel
Segmentation
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spelling my.uniten.dspace-204852023-05-05T08:27:03Z Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation Wan Nazirul Hafiz Bin Abdul Rani Vessel Segmentation Abnormal changes in characteristics of retinal vascular will lead to many systemic diseases. Analysis of retinal blood vessel (RBV) can help the identification of these changes and allow patient to take early precaution. Segmentation of retinal blood vessel is the method of detecting blood vessel components and separate these from non-vessel components. Good segmentation of fundus image is important for accurate analysis, thus an optimal approach for pre-processing enhancement based on colour spaces is proposed in this paper. Two colour spaces (RGB and YCbCr) have been used for analysis and retinal blood vessel segmentation using Multi-Scale Line Detection technique have been developed and simulated using MATLAB software. Both colour spaces were simulated using online digital fundus image database which is DRIVE, STARE and HRF. The performance of each colour space were measured. Bases on the analysis from the MATLAB results of both colour spaces, Y channel have slightly better performance compared with Green channel. Y channel in YCbCr is slightly better than 2023-05-03T15:02:28Z 2023-05-03T15:02:28Z 2019-10 https://irepository.uniten.edu.my/handle/123456789/20485 en application/pdf
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
topic Vessel
Segmentation
spellingShingle Vessel
Segmentation
Wan Nazirul Hafiz Bin Abdul Rani
Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation
description Abnormal changes in characteristics of retinal vascular will lead to many systemic diseases. Analysis of retinal blood vessel (RBV) can help the identification of these changes and allow patient to take early precaution. Segmentation of retinal blood vessel is the method of detecting blood vessel components and separate these from non-vessel components. Good segmentation of fundus image is important for accurate analysis, thus an optimal approach for pre-processing enhancement based on colour spaces is proposed in this paper. Two colour spaces (RGB and YCbCr) have been used for analysis and retinal blood vessel segmentation using Multi-Scale Line Detection technique have been developed and simulated using MATLAB software. Both colour spaces were simulated using online digital fundus image database which is DRIVE, STARE and HRF. The performance of each colour space were measured. Bases on the analysis from the MATLAB results of both colour spaces, Y channel have slightly better performance compared with Green channel. Y channel in YCbCr is slightly better than
format
author Wan Nazirul Hafiz Bin Abdul Rani
author_facet Wan Nazirul Hafiz Bin Abdul Rani
author_sort Wan Nazirul Hafiz Bin Abdul Rani
title Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation
title_short Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation
title_full Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation
title_fullStr Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation
title_full_unstemmed Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation
title_sort pre-processing enhancement for rentinal blood vessel segmentation
publishDate 2023
_version_ 1806427858188369920
score 13.222552

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