Segmentasi pembuluh darah pada citra retina dengan menggunakan multi-scale line detector (Msld) dan adaptive morphology

Abstract

The blood vessels of the retina are part of the retina that serves to supply blood and oxygen to the retina. So if the blood vessels are not supplied oxygen, it can be concluded that the retinal blood vessels are problematic, the amount of noise in the blood vessel causes the process in segments.Karena problems arise, then in this study proposed method of blood vessel segmentation by combining two methods, namely Methods of Multi-Scale Line Detector (MSLD) and adaptive morphology. From the whole method has different functions, MSLD function in the process of separation of lines formed by blood vessels in this case through the process of changing the original image to the green channel image, but in the actual process of MSLD method is less In the process of segmentation, due to the emergence of the problem when there is a crossing line between the optic disc and blood vessels, so that when the segmentation of the crossed line will not participate in segmentation, thus requiring additional method in the process of segmentation, for that required adaptive morphology method, Previous segmentation that has been done by using MSLD can be enhanced by using adaptive morphology method. Combination method is very effective because it can eliminate the optic disc area that forms a line crossed with blood vessels perfectly without removing the blood vessel area, so in the process of segmentation can produce an accuracy of 97.94%.