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Journal of Imaging Informatics in Medicine

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01.08.2011

_{An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection}

verfasst von: Marwan D. Saleh, C. Eswaran, Ahmed Mueen

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 4/2011

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Abstract

This paper focuses on the detection of retinal blood vessels which play a vital role in reducing the proliferative diabetic retinopathy and for preventing the loss of visual capability. The proposed algorithm which takes advantage of the powerful preprocessing techniques such as the contrast enhancement and thresholding offers an automated segmentation procedure for retinal blood vessels. To evaluate the performance of the new algorithm, experiments are conducted on 40 images collected from DRIVE database. The results show that the proposed algorithm performs better than the other known algorithms in terms of accuracy. Furthermore, the proposed algorithm being simple and easy to implement, is best suited for fast processing applications.

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Titel: An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection
verfasst von: Marwan D. Saleh
C. Eswaran
Ahmed Mueen
Publikationsdatum: 01.08.2011
Verlag: Springer-Verlag
Erschienen in: Journal of Imaging Informatics in Medicine / Ausgabe 4/2011
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI: https://doi.org/10.1007/s10278-010-9302-9

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_{An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection}

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