Vessel extraction in retinal images using automatic thresholding and Gabor Wavelet

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Retinal image analysis has been widely used for early detection and diagnosis of multiple systemic diseases. Accurate vessel extraction in retinal image is a crucial step towards a fully automated diagnosis system. This work affords an efficient unsupervised method for extracting blood vessels from retinal images by combining existing Gabor Wavelet (GW) method with automatic thresholding. Green channel image is extracted from color retinal image and used to produce Gabor feature image using GW. Both green channel image and Gabor feature image undergo vessel-enhancement step in order to highlight blood vessels. Next, the two vessel-enhanced images are transformed to binary images using automatic thresholding before combined to produce the final vessel output. Combining the images results in significant improvement of blood vessel extraction performance compared to using individual image. Effectiveness of the proposed method was proven via comparative analysis with existing methods validated using publicly available database, DRIVE.

Original languageEnglish
Title of host publication2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationSmarter Technology for a Healthier World, EMBC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages365-368
Number of pages4
ISBN (Electronic)9781509028092
DOIs
Publication statusPublished - 13 Sep 2017
Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of
Duration: 11 Jul 201715 Jul 2017

Other

Other39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
CountryKorea, Republic of
CityJeju Island
Period11/7/1715/7/17

Fingerprint

Blood vessels
Blood Vessels
Binary images
Retinal Vessels
Image analysis
Color
Early Diagnosis
Databases

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Ali, A., Hussain, A., & Wan Zaki, W. M. D. (2017). Vessel extraction in retinal images using automatic thresholding and Gabor Wavelet. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 365-368). [8036838] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8036838

Vessel extraction in retinal images using automatic thresholding and Gabor Wavelet. / Ali, Aziah; Hussain, Aini; Wan Zaki, Wan Mimi Diyana.

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 365-368 8036838.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ali, A, Hussain, A & Wan Zaki, WMD 2017, Vessel extraction in retinal images using automatic thresholding and Gabor Wavelet. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8036838, Institute of Electrical and Electronics Engineers Inc., pp. 365-368, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 11/7/17. https://doi.org/10.1109/EMBC.2017.8036838
Ali A, Hussain A, Wan Zaki WMD. Vessel extraction in retinal images using automatic thresholding and Gabor Wavelet. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 365-368. 8036838 https://doi.org/10.1109/EMBC.2017.8036838
Ali, Aziah ; Hussain, Aini ; Wan Zaki, Wan Mimi Diyana. / Vessel extraction in retinal images using automatic thresholding and Gabor Wavelet. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 365-368
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