Matrix Mask Overlapping and Convolution Eight Directions for Blood Vessel Segmentation on Fundus Retinal Image
Abstract: Diabetic Retinopathy
is one of the diseases that have the effect of a high mortality rate after
heart disease and cancer. However, the
disease can be early detected through blood vessels and the optic nerve head in
Fundus images. Blood vessels separation of the optic nerve head required high
effort when it is conducted manually, therefore it is necessary that the
appropriate method to perform segmentation of the object. Level Set method is
well-known as object segmentation method based on object deformable. However,
the methods have the disadvantage; it requires initialization before the
segmentation process. In this research, segmentation method without
initialization process is proposed. The segmentation is conducted by using the
maximum value selection results of convolution 8 directions. Experimental
results show that, proposed method has obtained 89.48% accuracy. Segmentation
errors are caused by small branches, where they are not connected, so that the
objects are supposed as noises
Author: Arif Muntasa, Indah
Agustien Sirajudin, Moch Kautsar Sophan
Journal Code: jptkomputergg140086
