Publication: Pre-Processing Enhancement For Rentinal Blood Vessel Segmentation
Date
2019-10
Authors
Wan Nazirul Hafiz Bin Abdul Rani
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Abstract
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
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Keywords
Vessel , Segmentation