Title :
On analyzing optic disc extraction through weighted colour models
Author :
Zulkifley, Mohd Asyraf ; Hussain, Amir ; Mustafa, Mohd Marzuki ; Mustapha, Aouache
Author_Institution :
Dept. of Electr., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
Optic disc segmentation is a crucial step in automated glaucoma detection system through Cup-to-Disc ratio measurement. Recent approaches focus on deterministic algorithm of RGB or grey model only. In this paper, we proposed a statistically integrated approach by combining various colour models. The driving motivation is the ability of each colour model to work accurately in certain environments or cases. Histogram of ach colour model of HSV, RGB and grey will be tabulated to approximate the colour distribution. The ratio between the highest and the second highest will be the contribution weightage of the fused output. The performance is simulated by using RIM-One database. The average sensitivity and specificity of the detection are 0.912 and 0.832 respectively.
Keywords :
biomedical optical imaging; image segmentation; medical disorders; medical image processing; statistical analysis; HSV model; RGB model; RIM-One database; ach colour model; colour distribution; cup-to-disc ratio measurement; glaucoma detection; grey model; optic disc extraction; optic disc segmentation; statistical integrated approach; weighted colour models; Color; Green products; Image color analysis; Modeling; Optical imaging; Optical sensors; Optical variables measurement; Glaucoma detection; Hybrid model; Multiple colour models; Optic disc extraction;
Conference_Titel :
Electronics, Information and Communications (ICEIC), 2014 International Conference on
Conference_Location :
Kota Kinabalu
DOI :
10.1109/ELINFOCOM.2014.6914379
