Image Processing Analysis on Retinal Blood Vessel for Detecting Glaucoma Affected Human Eye Using Morphological Process

In recent days glaucoma related problems are tremendously increased in a stratergical manner. Hence it is to be considered as a serious threat in biomedical problem among human beings. proper arrangement of retinal vessel provides information about the retinal abnormalities. This process help to find cause several retinal diseases. The assessment of blood vessel is used to find eye diseases such as diabetic retinopathy, glaucoma and hypertension. Digital image processing methods play a vital role in retinal blood vessel detection. Various image processing techniques and filters are in practice to detect and get the attributes of retinal blood vessels like length, width, patterns and angles. Automated digital image processing methods to undergo more of improvisation to achieve precise accuracy to learn the condition of retinal vessels especially in case of glaucoma and retinopathy. In existing technique the blood vessel detection points are not clearly indicated and also Junction points are not always detected. This paper deals with identifying retinal diseases by image processing technique using morphological algorithms. Morphological algorithm is applied to include the image in order to achieve the retinal image defect. Morphological filters are a collection of non-linear process related to the shape or morphology of features in an image. The advantage is that it tracks the vessels efficiently and also attenuates the noise to improve contrast. So the result of the given method provides good