Title :
Optic cup and disc color channel multi-thresholding segmentation
Author :
Noor, Nm ; Khalid, N. ; Ariff, Nm
Author_Institution :
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia
fDate :
Nov. 29 2013-Dec. 1 2013
Abstract :
Cup to disc ratio (CDR) is very important indicators in glaucoma detection. This paper proposes a method for glaucoma detection using digital fundus images with color multi-thresholding segmentation. The objective of this paper is to segment the optic cup and optic disc using color multi-thresholding segmentation and extracted feature such as cup to disc (c/d) ratio. Three ophthalmologists analysis was used as a reference to the automated segmented fundus image for a cup-to-disc ratio (CDR) measurement to discriminate glaucomatous from normal eyes. The performance of the optic cup and optic disc using color multi-thresholding segmentation has been evaluated and compared to each other. The results presented in this paper indicate that the features are clinically significant in the detection of glaucoma.
Keywords :
biomedical optical imaging; diseases; eye; feature extraction; image colour analysis; image segmentation; medical image processing; color multithresholding segmentation; digital fundus images; eyes; feature extraction; glaucoma detection; ophthalmologist; optic CDR measurement; optic cup segmentation; optic cup-to-disc ratio; optic disc segmentation; Image segmentation; Medical diagnostic imaging; Optical imaging; Optical sensors; Optical variables measurement; Power capacitors; Color multithresholding; Digital Fundus Image; Glaucoma detection; Image Segmentation;
Conference_Titel :
Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
Conference_Location :
Mindeb
Print_ISBN :
978-1-4799-1506-4
DOI :
10.1109/ICCSCE.2013.6720022