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Fundus blood vessels detection based on phase congruency

Journal Article


Abstract


  • Precise fundus image features detection is an important step for diabetic retinopathy screening. Noises in fundus image features extraction need to be reduced. Based on Phase Congruency (PC), a new fundus blood vessel detection method is presented. Using PC model, feature detection is performed respectively on the original and contrast enhanced green component of color fundus image. To obtain sharp blood vessels features, logical AND operation is applied on the two PC feature detection results. Thresholding and morphological operation are performed so that blood vessels are visible. Finally, eyeball edges are removed to get blood vessels only. Experiment results show its effectiveness. It achieves expected effect that main blood vessels are clear while tiny vessels are complete as well.

Authors


  •   Xiao, Zhitao (external author)
  •   Wu, Jun (external author)
  •   Shan, Chunyan (external author)
  •   Xi, Jiangtao

Publication Date


  • 2011

Citation


  • Xiao, Z., Wu, J., Shan, C. & Xi, J. (2011). Fundus blood vessels detection based on phase congruency. Journal of Digital Content Technology and its Applications, 5 (9), 298-305.

Scopus Eid


  • 2-s2.0-80053934379

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3648

Number Of Pages


  • 7

Start Page


  • 298

End Page


  • 305

Volume


  • 5

Issue


  • 9

Place Of Publication


  • http://www.aicit.org/JDCTA/ppl/JDCTA_201109_33.pdf

Abstract


  • Precise fundus image features detection is an important step for diabetic retinopathy screening. Noises in fundus image features extraction need to be reduced. Based on Phase Congruency (PC), a new fundus blood vessel detection method is presented. Using PC model, feature detection is performed respectively on the original and contrast enhanced green component of color fundus image. To obtain sharp blood vessels features, logical AND operation is applied on the two PC feature detection results. Thresholding and morphological operation are performed so that blood vessels are visible. Finally, eyeball edges are removed to get blood vessels only. Experiment results show its effectiveness. It achieves expected effect that main blood vessels are clear while tiny vessels are complete as well.

Authors


  •   Xiao, Zhitao (external author)
  •   Wu, Jun (external author)
  •   Shan, Chunyan (external author)
  •   Xi, Jiangtao

Publication Date


  • 2011

Citation


  • Xiao, Z., Wu, J., Shan, C. & Xi, J. (2011). Fundus blood vessels detection based on phase congruency. Journal of Digital Content Technology and its Applications, 5 (9), 298-305.

Scopus Eid


  • 2-s2.0-80053934379

Ro Metadata Url


  • http://ro.uow.edu.au/infopapers/3648

Number Of Pages


  • 7

Start Page


  • 298

End Page


  • 305

Volume


  • 5

Issue


  • 9

Place Of Publication


  • http://www.aicit.org/JDCTA/ppl/JDCTA_201109_33.pdf