Comparative analysis of median and Laplacian filter to detect edges of non-contrast cardiac CT image

Nur Endah Sari, Prawito Prajitno, Djarwani Soeharso Soejoko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The incidence of heart disease is increasing every year. One of the preventive actions is through early detection of the disease to take further action. Computer-Aided Diagnosis (CAD) helps doctors and cardiologists detect heart abnormalities seen in non-contrast cardiac CT images faster than manual detection. This study aims to detect the edges of non-contrast cardiac CT images. The method used is the Median and Laplacian filter algorithm using Matlab. The result shows that there is an automatic edge detection of non-contrast cardiac CT images. The conclusion obtained by the Laplacian filter with -8 kernel at its centre is clearer to detect edges of non-contrast cardiac CT images than the Median and Laplacian filters with -4 kernel at the centre. The study results are useful for medical image processing to facilitate the subsequent image analysis stage.

Original languageEnglish
Title of host publicationInternational Conference on Science and Applied Science, ICSAS 2021
EditorsBudi Purnama, Dewanta Arya Nugraha, A. Suparmi
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735441859
DOIs
Publication statusPublished - 24 Mar 2022
Event2021 International Conference on Science and Applied Science, ICSAS 2021 - Surakarta, Virtual, Indonesia
Duration: 6 Apr 20216 Apr 2021

Publication series

NameAIP Conference Proceedings
Volume2391
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference2021 International Conference on Science and Applied Science, ICSAS 2021
Country/TerritoryIndonesia
CitySurakarta, Virtual
Period6/04/216/04/21

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