The multiscale bowler-hat transform for blood vessel enhancement in retinal images

作者:

Highlights:

• We propose the bowler-hat transform - a new multiscale vessel enhancement approach based on mathematical morphology.

• The 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.

• 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.

摘要

•We propose the bowler-hat transform - a new multiscale vessel enhancement approach based on mathematical morphology.•The 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.•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.

论文关键词:Image enhancement,Mathematical morphology,Bowler-hat transform,Blood vessel enhancement

论文评审过程:Received 14 November 2017, Revised 12 September 2018, Accepted 9 October 2018, Available online 10 October 2018, Version of Record 11 January 2019.

论文官网地址:https://doi.org/10.1016/j.patcog.2018.10.011