Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function
Joint Authors
Zheng, Yuanjie
He, Yunlong
Zhao, Yanna
Ren, Yanju
Lian, Jian
Gee, James
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-05
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Filtering belongs to the most fundamental operations of retinal image processing and for which the value of the filtered image at a given location is a function of the values in a local window centered at this location.
However, preserving thin retinal vessels during the filtering process is challenging due to vessels’ small area and weak contrast compared to background, caused by the limited resolution of imaging and less blood flow in the vessel.
In this paper, we present a novel retinal image denoising approach which is able to preserve the details of retinal vessels while effectively eliminating image noise.
Specifically, our approach is carried out by determining an optimal spatial kernel for the bilateral filter, which is represented by a line spread function with an orientation and scale adjusted adaptively to the local vessel structure.
Moreover, this approach can also be served as a preprocessing tool for improving the accuracy of the vessel detection technique.
Experimental results show the superiority of our approach over state-of-the-art image denoising techniques such as the bilateral filter.
American Psychological Association (APA)
He, Yunlong& Zheng, Yuanjie& Zhao, Yanna& Ren, Yanju& Lian, Jian& Gee, James. 2017. Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1141963
Modern Language Association (MLA)
He, Yunlong…[et al.]. Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1141963
American Medical Association (AMA)
He, Yunlong& Zheng, Yuanjie& Zhao, Yanna& Ren, Yanju& Lian, Jian& Gee, James. Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1141963
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141963