TY - JFULL AU - Noor Elaiza Abdul Khalid and Noorhayati Mohamed Noor and Zamalia Mahmud and Saadiah Yahya and and Norharyati Md Ariff PY - 2012/1/ TI - Bridging Quantitative and Qualitative of Glaucoma Detection T2 - International Journal of Computer and Information Engineering SP - 1665 EP - 1670 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/57 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 72, 2012 N2 - Glaucoma diagnosis involves extracting three features of the fundus image; optic cup, optic disc and vernacular. Present manual diagnosis is expensive, tedious and time consuming. A number of researches have been conducted to automate this process. However, the variability between the diagnostic capability of an automated system and ophthalmologist has yet to be established. This paper discusses the efficiency and variability between ophthalmologist opinion and digital technique; threshold. The efficiency and variability measures are based on image quality grading; poor, satisfactory or good. The images are separated into four channels; gray, red, green and blue. A scientific investigation was conducted on three ophthalmologists who graded the images based on the image quality. The images are threshold using multithresholding and graded as done by the ophthalmologist. A comparison of grade from the ophthalmologist and threshold is made. The results show there is a small variability between result of ophthalmologists and digital threshold. ER -