Publication:
Microaneurysms segmentation in retinal images for early detection of diabetic retinopathy

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cris.author.scopus-author-id 57197771727
cris.author.scopus-author-id 22137274300
cris.author.scopus-author-id 57210438798
cris.author.scopus-author-id 26653958200
dc.contributor.author Mazlan N.
dc.contributor.author Yazid H.
dc.contributor.author Rahim S.
dc.contributor.author Basah S.
dc.date.accessioned 2025-01-13T12:12:56Z
dc.date.available 2025-01-13T12:12:56Z
dc.date.issued 2018-01-01
dc.description.abstract Microaneurysms (MAs) are the tiny aneurysms which show the earliest sign of diabetic retinopathy (DR). MAs might progress and harm human eyes if not treated. This paper presents an automatic method for segmentation of MAs in order to control the progression of DR. MESSIDOR database of 40 random images were utilised for further processing. The proposed approach covered pre-processing steps, contrast enhancement, filtration and segmentation by h-maxima transform and multilevel thresholding. Some post-processing techniques also involved in this approach using morphological operation. The detected MAs determined the grade of disease severity. The result showed that the percentage of severity disease detected was 60%.
dc.identifier.scopus 2-s2.0-85048575997
dc.identifier.uri https://hdl.handle.net/20.500.14170/12913
dc.relation.funding Ministry of Higher Education, Malaysia
dc.relation.grantno undefined
dc.relation.ispartof Journal of Telecommunication, Electronic and Computer Engineering
dc.relation.ispartofseries Journal of Telecommunication, Electronic and Computer Engineering
dc.relation.issn 21801843
dc.subject Diabetic Retinopathy | H-maxima Transform | Microaneurysms Segmentation | Morphological Closing | Multilevel Thresholding
dc.title Microaneurysms segmentation in retinal images for early detection of diabetic retinopathy
dc.type Journal
dspace.entity.type Publication
oaire.citation.endPage 41
oaire.citation.issue 1-16
oaire.citation.startPage 37
oaire.citation.volume 10
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
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person.identifier.scopus-author-id 57197771727
person.identifier.scopus-author-id 22137274300
person.identifier.scopus-author-id 57210438798
person.identifier.scopus-author-id 26653958200
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