Skripsi

KOMBINASI CONTRAST STRETCHING DAN MEDIAN FILTER UNTUK PERBAIKAN KUALITAS CITRA SEL NUKLEUS PAP SMEAR DENGAN SEGMENTASI OTSU THRESHOLDING

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Penilaian

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COMBINATION OF CONTRAST STRETCHING AND MEDIAN FILTER FOR IMAGE QUALITY IMPROVEMENT OF PAP SMEAR CELLS WITH OTSU THRESHOLDING SEGMENTATION By : Wahyu Tananda 08011381823066 ABSTRACT Pap smear is one of the method for early detection of cervical cancer. The pap smear image in this study comes from the Zenodo dataset which consists of nuclear and plasma cells. Early detection of nuclear cell abnormalities can prevent cervical cancer. One of the method is by performing a segmentation process to distinguish the nucleus and non-nucleus in the image. This study aims to improve the quality of the pap smear image and separate the nuclear cell image from the image background so that it can be easily processed further. The pap smear image quality was performed using a combination of contrast stretching and median filters which resulted in MSE, PSNR, and SSIM of 2.47, 44.27, and 0.95, respectively. The segmentation process using the Otsu thresholding method after which the opening morphology process was carried out resulted in an accuracy, sensitivity, and specificity of 98.08%, 98.48%, and 97.17%, respectively. Based on these results, it can be seen that the combination of contrast stretching and median filter is good in improving the quality of the original image. The results obtained by using Otsu thresholding in detecting nuclear cell features and detecting the background of the given image are very good. Keywords : Pap smear, Segmentation, Nuclear Cells, Otsu Thresholding, Median Filter, Contrast Stretching

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307001156	T78203	T782032022	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T782032022

Publisher

Indralaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya., 2022

Collation

xi, 50 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

510.285 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Jurusan Matematika
Pengolahan dan Analisa Data di Bidang Matematika

Specific Detail Info

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Statement of Responsibility

PITRIA

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