The Sriwijaya University Library

  • Home
  • Information
  • News
  • Help
  • Librarian
  • Login
  • Member Area
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}
Image of KOMBINASI METODE GAUSSIAN FILTER DAN GAMMA CORRECTION UNTUK PERBAIKAN CITRA PADA SEGMENTASI SEL NUKLEUS CITRA PAP SMEAR

Skripsi

KOMBINASI METODE GAUSSIAN FILTER DAN GAMMA CORRECTION UNTUK PERBAIKAN CITRA PADA SEGMENTASI SEL NUKLEUS CITRA PAP SMEAR

Annas, Muhammad Azwar - Personal Name;

Penilaian

0,0

dari 5
Penilaian anda saat ini :  

The nucleus is an important element in cervical cells that will undergo significant changes if someone is exposed to cervical cancer. Early detection of cervical cancer can be done using pap smear image segmentation by separating the nuclear and cytoplasmic cells. However, the pap smear image from the Zenodo dataset is still not good, so an image improvement process is needed. The image improvement process carried out in this study is using the Gaussian filter and the gamma correction methods. The segmentation process is continued by using the Otsu thresholding method. This research used data from the Zenodo dataset as input for the Pap smear image and then this data is converted into a grayscale image and then continued with the image improvement process using the Gaussian filter and gamma correction methods. Furthermore, the segmentation process is carried out using the Otsu thresholding method. The performance output of image improvement with MSE (Mean Square Error) is 3.260395, 43.11875 dB for PSNR (Peak Signal to Noise Ratio) and 0.9980594 for SSIM (Structural Similarity Index Metrics). The performance of image segmentation results in the form of an accuracy of 96.31%, sensitivity of 96.84% and specificity of 94.55%. Based on the MSE, PSNR and SSIM values, the results of the image repair that have been carried out are good and the performance of the segmentation results obtained is quite accurate.


Availability
Inventory Code Barcode Call Number Location Status
2307006774T134788T1347882022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1347882022
Publisher
Inderalaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Sriwijaya., 2023
Collation
xii, 67 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
510.720 7
Content Type
Text
Media Type
unmediated
Carrier Type
-
Edition
-
Subject(s)
Jurusan Matematika
Metode Riset Penelitian Matematika
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • KOMBINASI METODE GAUSSIAN FILTER DAN GAMMA CORRECTION UNTUK PERBAIKAN CITRA PADA SEGMENTASI SEL NUKLEUS CITRA PAP SMEAR
Comments

You must be logged in to post a comment

The Sriwijaya University Library
  • Information
  • Services
  • Librarian
  • Member Area

About Us

As a complete Library Management System, SLiMS (Senayan Library Management System) has many features that will help libraries and librarians to do their job easily and quickly. Follow this link to show some features provided by SLiMS.

Search

start it by typing one or more keywords for title, author or subject

Keep SLiMS Alive Want to Contribute?

© 2025 — Senayan Developer Community

Powered by SLiMS
Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search