Call For Paper Volume:4 Issue:8 Aug'2017 |

Vessel Detection and Noise Suppression Methods of Optical Coherence Tomography (OCT) Images

Publication Date : 10/07/2015



Author(s) :

Vaishali B. Kakade , Swati P. Madhe.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

Retina is the innermost layer of the eye and it has a layered structure, damage to any layer and variation in the layer thickness will cause loss of vision and lead to diseases such as Glaucoma, Diabetic Retinopathy etc. Thickness of the retina is measured by using the Optical Coherence Tomography (OCT). OCT is an imaging technique used for obtaining axial cross sectional images of translucent or opaque materials, such as biological tissues using a low-coherence light source. Images are corrupted by random variations in intensity values illumination, or have poor contrast called noise. In the proposed technique, an OCT image of eye is first cut into multiple vessel and non-vessel sections. Retinal blood vessels are detected through an iterative polynomial smoothing procedure. To suppress noise in the non-vessel sections various filters are used such as Gaussian filter, Wiener filter, Median filter, Average filter. From this paper we can conclude that median filter is suitable for noise suppression and this filtered image can be used for further processing such as segmentation and classification of retinal layers.


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