Optic cup segmentation using adaptive threshold and morphological image processing

Adi Nugroho, Hanung; Kirana, Thea; Pranowo, Vicko; Hutami, Augustine Herini Tita

doi:10.21924/cst.4.2.2019.125

Jurnal SINTA 1

Optic cup segmentation using adaptive threshold and morphological image processing

Communications in Science and Technology · Vol. 4 No. 2 (2019) · hlm. 63–67

DOI: 10.21924/cst.4.2.2019.125
ISSN: 2502-9266, 2502-9258
Terbit: 2019-12-30
Penerbit: Komunitas Ilmuwan dan Profesional Muslim Indonesia
Bahasa: eng

Abstrak

Glaucoma is a chronic optic neuropathy. It was predicted that people with bilateral blindness caused by glaucoma will increase each year. Hence, computer-aided diagnosis of glaucoma was proposed to assist ophthalmologist to conduct a fast and accurate glaucoma screening. One of the ocular examination in screening is optic nerve examination called disc damage likelihood scale (DDLS). It is important to find the optic disc and the optic cup to determine the narrowest width of the neuroretinal rim when using DDLS. To find the optic cup, this study proposed a segmentation scheme consisting of pre-process, segmentation, convex hull and morphological opening operation. In pre-process the blood vessel was removed to make the segmentation process of the optic cup easier. The segmentation process was done by using an adaptive thresholding followed by morphological image processing such as convex hull, opening and erosion. This algorithm was applied on Magrabia dataset and attained accuracy, specificity and sensitivity of 99.50%, 99.75% and 75.19% respectively.

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Universitas Gadjah Mada
Muhammadiyah University Purwokerto
King Mongkut's Institute of Technology Ladkrabang

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Rekan penulis	Organisasi	Artikel bersama
Igi Ardiyanto	Universitas Gadjah Mada	3
Widhia K.Z. Oktoeberza	Universitas Gadjah Mada	1
Vesi Yulyanti	Universitas Gadjah Mada	1
Dian Nova Kusuma Hardani	Muhammadiyah University Purwokerto	1
Yenny Rahmawati	Universitas Gadjah Mada	1
Kuntpong Woraratpanya	King Mongkut's Institute of Technology Ladkrabang	1

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Sumber metadata: OAI-PMH (metadata jurnal) https://cst.kipmi.or.id/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en-US">Optic cup segmentation using adaptive threshold and morphological image processing</dc:title>
	<dc:creator>Adi Nugroho, Hanung</dc:creator>
	<dc:creator>Kirana, Thea</dc:creator>
	<dc:creator>Pranowo, Vicko</dc:creator>
	<dc:creator>Hutami, Augustine Herini Tita</dc:creator>
	<dc:subject xml:lang="en-US">adaptive threshold</dc:subject>
	<dc:subject xml:lang="en-US">glaucoma</dc:subject>
	<dc:subject xml:lang="en-US">morphological operation</dc:subject>
	<dc:subject xml:lang="en-US">optic cup</dc:subject>
	<dc:description xml:lang="en-US">Glaucoma is a chronic optic neuropathy. It was predicted that people with bilateral blindness caused by glaucoma will increase each year. Hence, computer-aided diagnosis of glaucoma was proposed to assist ophthalmologist to conduct a fast and accurate glaucoma screening. One of the ocular examination in screening is optic nerve examination called disc damage likelihood scale (DDLS). It is important to find the optic disc and the optic cup to determine the narrowest width of the neuroretinal rim when using DDLS. To find the optic cup, this study proposed a segmentation scheme consisting of pre-process, segmentation, convex hull and morphological opening operation. In pre-process the blood vessel was removed to make the segmentation process of the optic cup easier. The segmentation process was done by using an adaptive thresholding followed by morphological image processing such as convex hull, opening and erosion. This algorithm was applied on Magrabia dataset and attained accuracy, specificity and sensitivity of 99.50%, 99.75% and 75.19% respectively.</dc:description>
	<dc:publisher xml:lang="en-US">Komunitas Ilmuwan dan Profesional Muslim Indonesia</dc:publisher>
	<dc:date>2019-12-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://cst.kipmi.or.id/journal/article/view/125</dc:identifier>
	<dc:identifier>10.21924/cst.4.2.2019.125</dc:identifier>
	<dc:source xml:lang="en-US">Communications in Science and Technology; Vol. 4 No. 2 (2019); 63-67</dc:source>
	<dc:source xml:lang="id-ID">Communications in Science and Technology; Vol 4 No 2 (2019); 63-67</dc:source>
	<dc:source>2502-9266</dc:source>
	<dc:source>2502-9258</dc:source>
	<dc:source>10.21924/cst.4.2.2019</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://cst.kipmi.or.id/journal/article/view/125/61</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Communications in Science and Technology</dc:rights>
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