Blood vessels extraction from fundus fluorescein angiogram in Curvelet domain

Tehrani, A.A.A. and Ebrahimpour-Komleh, H. and Aghadoost, D. (2018) Blood vessels extraction from fundus fluorescein angiogram in Curvelet domain. In: Cancer Letters.

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Abstract: This paper proposes a new method for blood vessel segmentation and extraction based on Curvelet domain and Hough transform. Diabetic retiopathy is an important human visual disease which leads blindness. Fluorescein angiography has become indispensable in the diagnosis and evaluation of many retinal conditions. Here, we introduced a novel and efficient algorithm for automated retinal blood vessels segmentation in fluorescein angiography images. The proposed method in this paper consists of three main steps that in the first step, the input image to create an image with high contrast and uniform background by becoming curvelet transform under processing. Then, in the next step Kirschs templates are used for edge detection in retinal images and arithmetic mean filter is applied to the image. Finally, Hough transform is applied to the image obtained from the previous step to remove non-information parts. Experimental results show the superiority of the proposed method against competing approaches. Keywords: Transforms,Diabetes,Image edge detection,Biomedical imaging,Retinopathy,Blood vessels,Retina

Item Type: Conference or Workshop Item (Paper)
Additional Information: cited By 0
Subjects: Medicine
Divisions: Faculty of Medicine > Clinical Sciences > Department of Ophthalmology
Depositing User: ART . editor
Date Deposited: 27 Feb 2019 13:06
Last Modified: 27 Feb 2019 13:06

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