MASK IMAGE GENERATION FOR SEGMENTING RETINAL FUNDUS IMAGE FEATURES INTO ISNT QUADRANTS USING ARRAY CENTROID METHOD

Abstract

Retinal fundus image processing paves the way for diagnosis of many eye disorders. The fundus image features such as optic disc, optic cup, optic rim and blood vessels help to analyse the pathological condition of eye. The analysis involves calculation of ocular parameters such as Rim to Disc Ratio (RDR) and Inferior Superior Nasal Temporal (ISNT) Ratio and verification of ISNT Rule. For this analysis the fundus image features have to be segmented into ISNT quadrants. This paper presents a novel approach towards mask image generation for segmenting fundus image feature into ISNT quadrants using array centroid method. The existing method uses a predefined mask image which is not accurate and the proposed array centroid method overcomes the limitations of existing method. The method involves centroid calculation, array initialization; mask image generation and, mask- feature image multiplication. The proposed method is applied to the fundus images collected from a reputed eye hospital.