Abstract
This paper proposes a method for segmentation of retinal blood vessels based on ultimate attribute opening (UAO). The proposed approach analyzes the space of numerical residues generated by UAO in order to select the residues extracted from elongated regions by means of an elongation shape descriptor. Thus, the residues extracted are used to define the ultimate elongation opening. Experimental results, using the public datasets DRIVE and STARE show that the proposed approach is fast, simple and comparable to other methods found in the literature.
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The authors would like to thank UNINOVE and FAPESP São Paulo Research Foundation (Process 2016/02547-5) by financial support.
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Alves, W.A.L., Gobber, C.F., Araújo, S.A., Hashimoto, R.F. (2016). Segmentation of Retinal Blood Vessels Based on Ultimate Elongation Opening. In: Campilho, A., Karray, F. (eds) Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science(), vol 9730. Springer, Cham. https://doi.org/10.1007/978-3-319-41501-7_81
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DOI: https://doi.org/10.1007/978-3-319-41501-7_81
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