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Conference papers
DETERMINATION OF RETINAL NETWORK SKELETON THROUGH MATHEMATICAL MORPHOLOGY
Abstract : This paper describes a new approach to determine vas-cular skeleton in retinal images. This approach is based on mathematical morphology along with curvature evaluation. In particular, a variant of the watershed transformation, the stochastic watershed, is applied to extract the vessel center-line. Its goal is to obtain directly the skeleton of the retinal tree avoiding a previous stage of vessel segmentation in order to reduce the dependence between stages and the computational cost. Experimental results show qualitative improvements if the proposed method is compared with other state-of-the-art algorithms, above all on pathological images. Therefore , the result of this work is an efficient and effective vessel centerline extraction algorithm and can be useful for further applications and image-aided diagnosis systems.
Cited literature [10 references]
https://hal-mines-paristech.archives-ouvertes.fr/hal-01536379
Contributor : Jesus Angulo <>
Submitted on : Thursday, June 15, 2017 - 12:49:44 PM
Last modification on : Thursday, September 24, 2020 - 4:38:04 PM
Long-term archiving on: : Tuesday, December 12, 2017 - 12:01:04 PM
Contributor : Jesus Angulo <>
Submitted on : Thursday, June 15, 2017 - 12:49:44 PM
Last modification on : Thursday, September 24, 2020 - 4:38:04 PM
Long-term archiving on: : Tuesday, December 12, 2017 - 12:01:04 PM
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06952618.pdf
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