Title :
Detection of vessels in a retinal image using decomposed pixel classification method
Author :
Sargan, Erman ; Kokturk, Basak Esin
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Izmir Yuksek Teknoloji Enstitusu, İzmir, Turkey
Abstract :
The aim of this study, determination of blood vessels on high dimensional retinal images using decomposed pixel classification method. In this work intensity histograms are obtained by using vectoral directions. Local minimum and local maximum points are found by using these histograms to detect location of vessels. In addition to this, vessel thickness information are detected by determining a threshold point on these histograms.
Keywords :
blood vessels; eye; image classification; image segmentation; medical image processing; object detection; blood vessels; decomposed pixel classification method; high dimensional retinal images; intensity histograms; local maximum points; local minimum points; retina vessel identification; threshold point; vectoral directions; vessel thickness information; vessels location detection; Biomedical imaging; Databases; Image segmentation; Retina; decomposed pixel classification method; retina vessel identification; retinal image analysis;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129994
