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Journal of Sensors
Volume 2015, Article ID 839894, 13 pages
http://dx.doi.org/10.1155/2015/839894
Research Article

Removal of False Blood Vessels Using Shape Based Features and Image Inpainting

Department of Computer Engineering, National University of Sciences & Technology, Islamabad 44000, Pakistan

Received 25 March 2015; Accepted 17 May 2015

Academic Editor: Kourosh Kalantar-Zadeh

Copyright © 2015 Amna Waheed et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Zahra Waheed, M. Usman Akram, Amna Waheed, Muazzam A. Khan, Arslan Shaukat, and Mazhar Ishaq, “Person identification using vascular and non-vascular retinal features,” Computers & Electrical Engineering, 2016. View at Publisher · View at Google Scholar
  • Selvathi, and Prakash, “Segmentation of retinal blood vessels in colour fundus images using ANFIS classifier,” International Journal of Biomedical Engineering and Technology, vol. 24, no. 4, pp. 338–355, 2017. View at Publisher · View at Google Scholar
  • Morteza Modarresi Asem, Iman Sheikh Oveisi, and Mona Janbozorgi, “Blood vessel segmentation in modern wide-field retinal images in the presence of additive Gaussian noise,” Journal of Medical Imaging, vol. 5, no. 3, 2018. View at Publisher · View at Google Scholar