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Communication dans un congrès
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.
Littérature citée [10 références]
https://hal-mines-paristech.archives-ouvertes.fr/hal-01536379
Contributeur : Jesus Angulo <>
Soumis le : jeudi 15 juin 2017 - 12:49:44
Dernière modification le : jeudi 9 avril 2020 - 17:08:04
Document(s) archivé(s) le : mardi 12 décembre 2017 - 12:01:04
Contributeur : Jesus Angulo <>
Soumis le : jeudi 15 juin 2017 - 12:49:44
Dernière modification le : jeudi 9 avril 2020 - 17:08:04
Document(s) archivé(s) le : mardi 12 décembre 2017 - 12:01:04
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06952618.pdf
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