DocumentCode :
3252835
Title :
Blood vessel extraction from retinal images using Complex Wavelet Transform and Complex-Valued Artificial Neural Network
Author :
Ceylan, Murat ; Yacar, Huseyin
Author_Institution :
Electr. & Electron. Eng. Dept., Selcuk Univ., Konya, Turkey
fYear :
2013
fDate :
2-4 July 2013
Firstpage :
822
Lastpage :
825
Abstract :
Retinal imaging in ophthalmology plays an important role for the diagnosis of diabetes, cardiovascular disease, etc. In retina images, changes of blood vessels can help the expert to detection of diseases. Manually extraction of blood vessels from retinal images is usually difficult process due to depending on the experience of physician, back-ground artifacts, different acquisition process. Therefore, the aim of this study is to purpose a novel method for automatic blood vessel extraction from retinal image. This study presents a combined structure. This structure is realized with two cascade stages: feature extraction with 4th level Complex Wavelet Transform (CWT) and Complex-Valued Artificial Neural Networks (CVANN) for the blood vessels segmentation. To check the validation of proposed method, public DRIVE database is used. Result of this study has a higher accuracy (98.56 %) than previously studies in the literature.
Keywords :
blood vessels; eye; feature extraction; medical image processing; neural nets; wavelet transforms; automatic blood vessel extraction; blood vessels segmentation; complex valued artificial neural networks; feature extraction; fourth level complex wavelet transform; ophthalmology; public DRIVE database; retinal image; retinal imaging; Biomedical imaging; Blood vessels; Feature extraction; Image segmentation; Retina; Wavelet transforms; Blood vessel extraction; complex wavelet transform; complex-valued artificial neural network; retinal image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-0402-0
Type :
conf
DOI :
10.1109/TSP.2013.6614053
Filename :
6614053
Link To Document :
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