Volume 13, Issue 1 (6-2016)                   JSDP 2016, 13(1): 127-138 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Zardadi M, Mehrshad N. A New Approach to Retinal Vessel Segmentation by Using Computational Model of Simple Cells in Primary Visual Cortex. JSDP. 2016; 13 (1) :127-138
URL: http://jsdp.rcisp.ac.ir/article-1-230-en.html
Abstract:   (2795 Views)

In this paper, a new unsupervised algorithm for automatic retinal blood vessel extraction is presented. A pre-processing step is introduced to eliminating optic disk and back ground noise. Blood vessel highlighting is prepared by a new method inspired by simple cells in human visual system. An adaptive threshold is introduced as an activation function of simple cells. Post-processing step is used as a final stage at the output of simple cells to eliminating exudates which is detected as blood vessels. The results on DRIVE database demonstrate that the performance of the proposed algorithm is comparable with state-of-the-art techniques in terms of execution time and extracted vessels.

Full-Text [PDF 2136 kb]   (1217 Downloads)    
Type of Study: Research | Subject: Paper
Received: 2014/04/12 | Accepted: 2016/04/11 | Published: 2016/06/22 | ePublished: 2016/06/22

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2015 All Rights Reserved | Signal and Data Processing