The Multiscale Bowler-Hat Transform for Blood Vessel Enhancement in Retinal Images

نویسندگان

  • Cigdem Sazak
  • Carl J. Nelson
  • Boguslaw Obara
چکیده

Enhancement, followed by segmentation, quantification and modelling, of blood vessels in retinal images plays an essential role in computer-aided retinopathy diagnosis. In this paper, we introduce the bowler-hat transform method, a new approach based on mathematical morphology, for vessel enhancement. The proposed method combines different structuring elements to detect innate features of vessel-like structures. We evaluate the proposed method qualitatively and quantitatively, and compare it with the existing, state-of-the-art methods using both synthetic and real datasets. Our results establish that the proposed method achieves high-quality vessel-like structure enhancement in both synthetic examples and in clinically relevant retinal images, and is shown to be able to detect fine vessels while remaining robust at junctions.

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عنوان ژورنال:
  • CoRR

دوره abs/1709.05495  شماره 

صفحات  -

تاریخ انتشار 2017