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Nova scientia
On-line version ISSN 2007-0705
Abstract
ESCOBAR, Marco A.; GUZMAN SEPULVEDA, José R.; PARRA MICHEL, Jorge R. and GUZMAN CABRERA, Rafael. A proposal to measure the similarity between retinal vessel segmentations images. Nova scientia [online]. 2019, vol.11, n.22, pp.224-245. ISSN 2007-0705. https://doi.org/10.21640/ns.v11i22.1872.
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.
Keywords : image processing; segmentation; fractal dimension; similarity measurement.