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Volume: 3 | Article ID: art00061
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Color image analysis of the optic disc to assist diagnosis of glaucoma risk and evolution
Edison Valencia
María S. Millán
  DOI :  10.2352/CGIV.2006.3.1.art00061  Published Online :  January 2006
Abstract

This work aims to build an algorithm to segment the optic cup inside the optic disc, and the optic disc from the rest of the eye fundus image. The algorithm is intended to give assistance in the cup to disc ratio estimation of glaucomatous eyes. Often the contours of both the optic cup and disc are faint and intersected by entangled veins that make it difficult to draw their silhouettes. The algorithm, which includes the spatial filtering proposed in the S-CIELAB extension, is based on the information of color, the color differences between neighbor pixels and the geometry of the areas involved.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2006.3.1.art00061
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Edison Valencia, María S. Millán, "Color image analysis of the optic disc to assist diagnosis of glaucoma risk and evolution"  in Proc. IS&T CGIV 2006 3rd European Conf. on Colour in Graphics, Imaging, and Vision,  2006,  pp 298 - 301,  https://doi.org/10.2352/CGIV.2006.3.1.art00061

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Copyright © Society for Imaging Science and Technology 2006
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20060101)2006:1L.298;1-
cgiv_v2006n1/splitsection61.xml
/ist/cgiv/2006/00002006/00000001/art00061
Articles
Color image analysis of the optic disc to assist diagnosis of glaucoma risk and evolution
ValenciaEdison
MillánMaría S.
01012006
2006
1
298
301
2006
This work aims to build an algorithm to segment the optic cup inside the optic disc, and the optic disc from the rest of the eye fundus image. The algorithm is intended to give assistance in the cup to disc ratio estimation of glaucomatous eyes. Often the contours of both the optic cup and disc are faint and intersected by entangled veins that make it difficult to draw their silhouettes. The algorithm, which includes the spatial filtering proposed in the S-CIELAB extension, is based on the information of color, the color differences between neighbor pixels and the geometry of the areas involved.