1. A proposal to measure the similarity between retinal vessel segmentations images
- Author
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Marco A. Escobar, José R. Guzmán Sepúlveda, Jorge R. Parra Michel, and Rafael Guzmán Cabrera
- Subjects
image processing ,segmentation ,fractal dimension ,similarity measurement ,retinal vessel ,vascularity ,Science ,Science (General) ,Q1-390 ,Social Sciences ,Social sciences (General) ,H1-99 - Abstract
Introduction: We propose a novel approach for the assessment of the similarity of retinal vessel segmentation images that is based on linking the standard performance metrics of a segmentation algorithm, with the actual structural properties of the images through the fractal dimension. Method: We apply our methodology to compare the vascularity extracted by automatic segmentation against manually segmented images. Results: We demonstrate that the strong correlation between the standard metrics and fractal dimension is preserved regardless of the size of the subimages analyzed. Discussion or Conclusion: We show that the fractal dimension is correlated to the segmentation algorithm’s performance and therefore it can be used as a comparison metric.
- Published
- 2019
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