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Superpixel classification for initialization in model based optic disc segmentation.

Publication ,  Journal Article
Cheng, J; Liu, J; Xu, Y; Yin, F; Wong, DWK; Lee, B-H; Cheung, C; Aung, T; Wong, TY
Published in: Annu Int Conf IEEE Eng Med Biol Soc
2012

Optic disc segmentation in retinal fundus image is important in ocular image analysis and computer aided diagnosis. Because of the presence of peripapillary atrophy which affects the deformation, it is important to have a good initialization in deformable model based optic disc segmentation. In this paper, a superpixel classification based method is proposed for the initialization. It uses histogram of superpixels from the contrast enhanced image as features. In the training, bootstrapping is adopted to handle the unbalanced cluster issue due to the presence of peripapillary atrophy. A self-assessment reliability score is computed to evaluate the quality of the initialization and the segmentation. The proposed method has been tested in a database of 650 images with optic disc boundaries marked by trained professionals manually. The experimental results show an mean overlapping error of 10.0% and standard deviation of 7.5% in the best scenario. The results also show an increase in overlapping error as the reliability score reduces, which justifies the effectiveness of the self-assessment. The method can be used for optic disc boundary initialization and segmentation in computer aided diagnosis system and the self-assessment can be used as an indicator of cases with large errors and thus enhance the usage of the automatic segmentation.

Duke Scholars

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

2012

Volume

2012

Start / End Page

1450 / 1453

Location

United States

Related Subject Headings

  • Photography
  • Optic Disk
  • Image Processing, Computer-Assisted
  • Humans
  • Databases, Factual
  • Cluster Analysis
  • Algorithms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cheng, J., Liu, J., Xu, Y., Yin, F., Wong, D. W. K., Lee, B.-H., … Wong, T. Y. (2012). Superpixel classification for initialization in model based optic disc segmentation. Annu Int Conf IEEE Eng Med Biol Soc, 2012, 1450–1453. https://doi.org/10.1109/EMBC.2012.6346213
Cheng, Jun, Jiang Liu, Yanwu Xu, Fengshou Yin, Damon Wing Kee Wong, Beng-Hai Lee, Carol Cheung, Tin Aung, and Tien Yin Wong. “Superpixel classification for initialization in model based optic disc segmentation.Annu Int Conf IEEE Eng Med Biol Soc 2012 (2012): 1450–53. https://doi.org/10.1109/EMBC.2012.6346213.
Cheng J, Liu J, Xu Y, Yin F, Wong DWK, Lee B-H, et al. Superpixel classification for initialization in model based optic disc segmentation. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1450–3.
Cheng, Jun, et al. “Superpixel classification for initialization in model based optic disc segmentation.Annu Int Conf IEEE Eng Med Biol Soc, vol. 2012, 2012, pp. 1450–53. Pubmed, doi:10.1109/EMBC.2012.6346213.
Cheng J, Liu J, Xu Y, Yin F, Wong DWK, Lee B-H, Cheung C, Aung T, Wong TY. Superpixel classification for initialization in model based optic disc segmentation. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:1450–1453.

Published In

Annu Int Conf IEEE Eng Med Biol Soc

DOI

EISSN

2694-0604

Publication Date

2012

Volume

2012

Start / End Page

1450 / 1453

Location

United States

Related Subject Headings

  • Photography
  • Optic Disk
  • Image Processing, Computer-Assisted
  • Humans
  • Databases, Factual
  • Cluster Analysis
  • Algorithms