Publication:
Blood vessel segmentation and extraction using H-minima method based on image processing techniques

dc.contributor.authorBoubakar Khalifa Albargathe S.M., Kamberli E., Kandemirli F., Rahebi J.
dc.contributor.authorAlbargathe, SMBK, Kamberli, E, Kandemirli, F, Rahebi, J
dc.date.accessioned2023-05-09T15:47:15Z
dc.date.available2023-05-09T15:47:15Z
dc.date.issued2021-01-01
dc.date.issued2021.01.01
dc.description.abstractIn this paper, the H-minima transform is used for blood vessel segmentation. The aim of this study is to get the high accuracy of blood vessel segmentation in retinal images. In this study the good result and good performance were got. We compared our result with other methods. Also for simulation result we implemented on DRIVE and STARE database. The proposed method shows very remarkable performance on pathological retinal images. For the implementing of the proposed method MATLAB 2019a software is used. The running time of this method was 1 s for each image and the average accuracy for STARE dataset and DRIVE dataset achieved to 0.9591 and 0.9672 respectively.
dc.identifier.doi10.1007/s11042-020-09646-3
dc.identifier.eissn1573-7721
dc.identifier.endpage2582
dc.identifier.issn1380-7501
dc.identifier.scopus2-s2.0-85091018185
dc.identifier.startpage2565
dc.identifier.urihttps://hdl.handle.net/20.500.12597/12602
dc.identifier.volume80
dc.identifier.wosWOS:000569701000001
dc.relation.ispartofMultimedia Tools and Applications
dc.relation.ispartofMULTIMEDIA TOOLS AND APPLICATIONS
dc.rightsfalse
dc.subjectFundus camera | Image processing | Retina image
dc.titleBlood vessel segmentation and extraction using H-minima method based on image processing techniques
dc.titleBlood vessel segmentation and extraction using H-minima method based on image processing techniques
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume80
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relation.isScopusOfPublication.latestForDiscovery3c25c9cc-f183-4a99-976f-0217b407a1af
relation.isWosOfPublication3e69fe8e-3ff8-4cc1-984e-ba10e635f7e0
relation.isWosOfPublication.latestForDiscovery3e69fe8e-3ff8-4cc1-984e-ba10e635f7e0

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