SEGMENTASI PEMBULUH DARAH RETINA MENGGUNAKAN OTSU THRESHOLDING
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23971 |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.unsri.ac.id/23971/</relation><title>SEGMENTASI PEMBULUH DARAH RETINA MENGGUNAKAN OTSU THRESHOLDING</title><creator>AL'AFWA, QONITA</creator><creator>Erwin, Erwin</creator><subject>Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.</subject><description>Segmentation aims to separate the foreground and background. The proposed method consists of three stages, the preprocessing, segmentation, and post-processing. The preprocessing using Green Channel, Complement, contrast enhancement using Contrast Limited Adaptive Histogram Equalization and contrast adjustment. The segmentation using Otsu Thresholding. And the post-processing using Remove Small Object. The proposed method was tested on two publicly available datasets and reached an Accuracy 92.22%, Sensitivity 53.72%, Specificity 96,78% for STARE dataset and Accuracy 94.44%, Sensitivity 56.64%, Specificity 98,63% for DRIVE dataset.</description><date>2019-11-08</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/1/RAMA_56201_09011281520103.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/10/RAMA_56201_09011281520103_TURNITIN.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/3/RAMA_56201_09011281520103_0029017101_01_front_ref.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/2/RAMA_56201_09011281520103_0029017101_02.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/6/RAMA_56201_09011281520103_0029017101_03.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/9/RAMA_56201_09011281520103_0029017101_04.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/4/RAMA_56201_09011281520103_0029017101_05.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/7/RAMA_56201_09011281520103_0029017101_06_ref.pdf</identifier><type>Book:Book</type><language>ind</language><rights>cc_public_domain</rights><identifier>http://repository.unsri.ac.id/23971/8/RAMA_56201_09011281520103_0029017101_07_lamp.pdf</identifier><identifier> AL'AFWA, QONITA and Erwin, Erwin (2019) SEGMENTASI PEMBULUH DARAH RETINA MENGGUNAKAN OTSU THRESHOLDING. Undergraduate thesis, Sriwijaya University. </identifier><recordID>23971</recordID></dc>
|
| language |
ind |
| format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book |
| author |
AL'AFWA, QONITA Erwin, Erwin |
| title |
SEGMENTASI PEMBULUH DARAH RETINA MENGGUNAKAN OTSU THRESHOLDING |
| publishDate |
2019 |
| isbn |
0901128152010 |
| topic |
Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation |
| url |
http://repository.unsri.ac.id/23971/1/RAMA_56201_09011281520103.pdf http://repository.unsri.ac.id/23971/10/RAMA_56201_09011281520103_TURNITIN.pdf http://repository.unsri.ac.id/23971/3/RAMA_56201_09011281520103_0029017101_01_front_ref.pdf http://repository.unsri.ac.id/23971/2/RAMA_56201_09011281520103_0029017101_02.pdf http://repository.unsri.ac.id/23971/6/RAMA_56201_09011281520103_0029017101_03.pdf http://repository.unsri.ac.id/23971/9/RAMA_56201_09011281520103_0029017101_04.pdf http://repository.unsri.ac.id/23971/4/RAMA_56201_09011281520103_0029017101_05.pdf http://repository.unsri.ac.id/23971/7/RAMA_56201_09011281520103_0029017101_06_ref.pdf http://repository.unsri.ac.id/23971/8/RAMA_56201_09011281520103_0029017101_07_lamp.pdf http://repository.unsri.ac.id/23971/ |
| contents |
Segmentation aims to separate the foreground and background. The proposed method consists of three stages, the preprocessing, segmentation, and post-processing. The preprocessing using Green Channel, Complement, contrast enhancement using Contrast Limited Adaptive Histogram Equalization and contrast adjustment. The segmentation using Otsu Thresholding. And the post-processing using Remove Small Object. The proposed method was tested on two publicly available datasets and reached an Accuracy 92.22%, Sensitivity 53.72%, Specificity 96,78% for STARE dataset and Accuracy 94.44%, Sensitivity 56.64%, Specificity 98,63% for DRIVE dataset. |
| id |
IOS8119.23971 |
| institution |
Universitas Sriwijaya |
| institution_id |
177 |
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library:university library |
| library |
UPT Perpustakaan Universitas Sriwijaya |
| library_id |
1098 |
| collection |
Sriwijaya University Institutional Repository |
| repository_id |
8119 |
| city |
OGAN ILIR |
| province |
SUMATERA SELATAN |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS8119 |
| first_indexed |
2020-03-23T08:01:20Z |
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2020-03-23T08:01:20Z |
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dc |
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1684010474385965056 |
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17.611513 |