Fractal-based automatic localization and segmentation of optic disc in retinal images. Academic Article

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.

authors

• Liu, Jyh

published proceedings

• Annu Int Conf IEEE Eng Med Biol Soc

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

• August 2007

publisher

• IEEE  Publisher

published in

• n2375-7477ISSN  Journal

keywords

• Algorithms
• Fractals
• Humans
• Image Processing, Computer-Assisted
• Optic Disk
• Retinal Diseases
• Software

PubMed Central ID

• 18002913

Digital Object Identifier (DOI)

• 10.1109/IEMBS.2007.4353247

start page

• 4139

end page

• 4141

volume

• 2007

URL

• http://dx.doi.org/10.1109/iembs.2007.4353247