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Retinal Blood Vessels Extraction using Matched Filter on High Resolution Fundus Image Database

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IJCA Proceedings on National conference on Digital Image and Signal Processing
© 2015 by IJCA Journal
DISP 2015 - Number 1
Year of Publication: 2015
Authors:
Deepali D. Rathod
Ramesh R. Manza
Yogesh M. Rajput

Deepali D Rathod, Ramesh R Manza and Yogesh M Rajput. Article: Retinal Blood Vessels Extraction using Matched Filter on High Resolution Fundus Image Database. IJCA Proceedings on National conference on Digital Image and Signal Processing DISP 2015(1):15-22, April 2015. Full text available. BibTeX

@article{key:article,
	author = {Deepali D. Rathod and Ramesh R. Manza and Yogesh M. Rajput},
	title = {Article: Retinal Blood Vessels Extraction using Matched Filter on High Resolution Fundus Image Database},
	journal = {IJCA Proceedings on National conference on Digital Image and Signal Processing},
	year = {2015},
	volume = {DISP 2015},
	number = {1},
	pages = {15-22},
	month = {April},
	note = {Full text available}
}

Abstract

In this paper we have extracted the retinal blood vessels using 2D Matched filter. The proposed algorithm is consisting of some preprocessing steps on RGB image like extraction of green channel; contrast limited adaptive histogram equalization, and morphological opening operation. After extraction of retinal blood vessels using matched filter, we have calculated fractal dimension for finding the architectural distortion. Accuracy is calculated using person correlation coefficient, and achieved 98. 3 % accuracy. Operations are done on the 45 images of HRF database. 15 images are of Healthy, 15 images are of Diabetic retinopathy, and 15 are of Glaucoma.

References

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