Retinal blood vessel extraction method based on basic filtering schemes

Toufique Soomro, Junbin Gao, Manoranjan Paul, Lihong Zheng

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

The eye disease such as Diabetic Retinopathy(DR) can be analysed through segmentation of retinal blood vessels. In the last five years, many methods for retinal blood vessels segmentation were proposed. These methods give arise to the improved accuracy, however the sensitivity of low contrast vessels is often ignored. The performance of diagnosis in terms of segmentation of vessels can be degraded due to missing tiny vessels. In this study, we propose a novel algorithm aiming at improving the performance of segmenting small vessels. The proposed approach adopts a morphological and filtering method to handle the background noise and uneven illumination and uses anisotropic diffusion filtering to coherent the vessels and give initial detection of vessels, followed by a double threshold based region growing method.
Original languageEnglish
Title of host publication2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
Place of PublicationUnited States
Pages4422-4426
Number of pages5
ISBN (Electronic)9781509021758
DOIs
Publication statusPublished - 22 Feb 2018
Event2017 24th IEEE International Conference on Image Processing: ICIP 2017 - China National Convention Center , Beijing, China
Duration: 17 Sep 201720 Jul 2018
http://2017.ieeeicip.org/ (Conference website)

Conference

Conference2017 24th IEEE International Conference on Image Processing
CountryChina
CityBeijing
Period17/09/1720/07/18
Internet address

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  • Cite this

    Soomro, T., Gao, J., Paul, M., & Zheng, L. (2018). Retinal blood vessel extraction method based on basic filtering schemes. In 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings (pp. 4422-4426). https://doi.org/10.1109/ICIP.2017.8297118