Fractal-based automatic localization and segmentation of optic disc in retinal images Conference Paper

abstract

• In this paper, we proposed a novel algorithm to detect optic disc location in retinal images. Optic disc is a bright disk area and all major blood vessels and nerves originate from it. With its high fractal dimension of blood vessel, optic disc can be easily differentiated from other bright regions such as hard exudates and artifacts. Compared with existing algorithms, ours has much lower computational cost and is more robust. With its location known, segmentation of optic disc can be done with simple local histogram analysis. The algorithm can be valuable for automated processing for early stage retinal disease. 2007 IEEE.

name of conference

• 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

authors

• Liu, Jyh

published proceedings

• 2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16

author list (cited authors)

• Ying, H., Zhang, M., & Liu, J.

citation count

• 37

complete list of authors

• Ying, Huajun||Zhang, Ming||Liu, Jyh-Charn

publication date

• December 2007

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)  Journal

keywords

• Fractal
• Histogram
• Retinal Images

Digital Object Identifier (DOI)

• 10.1109/IEMBS.2007.4353247

International Standard Book Number (ISBN) 10

• 1424407885

International Standard Book Number (ISBN) 13

• 978-1-4244-0787-3

start page

• 4139

end page

• 4141

volume

• 2007