Optimized MFR & automated local entropy thresholding for retinal blood vessel extraction

Retinal blood vessel extraction plays important role in diagnosis of many diseases such as diabetic retinopathy (DR), hypertension, glaucoma and arteriosclerosis. In this paper optimized matched filter response is used to enhance the blood vessel followed by local entropy thresholding used to segmen...

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Bibliographic Details
Published in2012 7th International Conference on Electrical and Computer Engineering pp. 141 - 144
Main Authors Kuri, S. K., Patankar, S. S., Kulkarni, J. V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
Biomedical imaging
Blood vessels
Diabetic retinopathy
Entropy
Image segmentation
Kernel
Local Entropy Threshold
Matched filter
Matched filters
Retina
Retinal image
Vessel extraction
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Summary:Retinal blood vessel extraction plays important role in diagnosis of many diseases such as diabetic retinopathy (DR), hypertension, glaucoma and arteriosclerosis. In this paper optimized matched filter response is used to enhance the blood vessel followed by local entropy thresholding used to segment the vessels automatically. First optimized matched filter are applied to the retinal images to enhance vessels then we used their corresponding co-occurrence matrix & automatic to find local entropy thresholding that used for segmented the blood vessel in retinal image. The results shows that automated local entropy thresholding more successful compare to other methods in our proposed matched have 95.86 % average accuracy.
ISBN:146731434X
9781467314343
DOI:10.1109/ICECE.2012.6471505