Entropy Thresholding based Retinal Blood Vessel Segmentation
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 1, January 2016

Entropy Thresholding based Retinal Blood Vessel Segmentation

A. S. Deshpande, Nayan A. Karale

Accurate segmentation of retinal blood vessel plays very important role for the efficient diagnosis of retinal vascular disorders. In this paper, Entropy based thresholding along with multiple features is proposed. Multiple features like vesselness measure, magnitude response of gabor filter and gamma correction with inverted green channel are extracted. These extracted features are combine using neural network. Later, Entropy based thresholding is used to get the segmented blood vessel.

Keywords: Fundus image, Retinal Vascular Disorder, Segmentation, Entropy

Edition: Volume 5 Issue 1, January 2016

Pages: 1312 - 1314

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How to Cite this Article?

A. S. Deshpande, Nayan A. Karale, "Entropy Thresholding based Retinal Blood Vessel Segmentation", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV152694, Volume 5 Issue 1, January 2016, 1312 - 1314

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