Penerapan Metode Error Level Analysis dan Laplacian of Gausian Untuk Deteksi Tepi Citra CT Scan Paru-Paru
DOI:
https://doi.org/10.47065/jimat.v1i1.95Keywords:
Detection; Error Level Analysis; Laplacian of Gaussian; CT ScanAbstract
Edge detection of an image is one way to determine the authenticity of the data, at this time many scans are inefficient due to poor quality and unclear image colors. One of the problems that is often found is in the ct scan results to find out the truth of a disease. In this study, the problems that will be detected are the CT scan results of the lungs using the Error Level Analysis and Laplacian of Gausian method. The identification system can be seen from the results of a good file extraction. Extraction can be done by taking one part of the CT image. scan, and the part that is easiest to find is the edge of the image. The process of applying the Error Level Analysis and Laplacian of gausian method is by combining the Error Level Analysis method and the Lapciaan of gausian method. Method (ELA) a method is a modified image detection technique by restoring a new image, in the sense that it has been compressed after performing the calculation process on changing the compression level of the image. Meanwhile, the Laplacian of gausian method is a technique for detecting the edges of an image, so that the problem solving process is carried out by detecting the modified image and then proceeding to detect the edges of the image to determine the authenticity of the image. The results obtained from this study are the edge detection process of CT-Scan results obtained from the mean value of the Mean Square Error pixel
Downloads
References
D. A. Faroek and R. Umar, “Deteksi Keaslian Citra Menggunakan Metode Error Level Analysis ( ELA ) dan Principal Component Analysis ( PCA ),” vol. 8, no. 2016, pp. 132–137, 2019.
E. Ndruru, “Pemanfaatan Sistem Pendukung Keputusan Dalam Seleksi Pkw Terbaik Dengan Metode Aras Pada Lpk2-Pascom Medan,” vol. I, no. 2, pp. 26–34, 2019.
T. S. Prihartini and P. N. Andono, “Deteksi Tepi Dengan Metode Laplacian of Gaussian Pada Citra Daun Tanaman Kopi,” pp. 1–5, 2017.
Taronisokhizebua1, “Pengamanancitradigitalberdasarkan Modifikasialgoritmarc4,” vol. 4, no. 4, pp. 275–282, 2017, doi: 10.25126/jtiik.201744474.
M. L. Hermansyah, W. Dhamiyati, and L. Choridah, “Modalitas Imejing pada Karsinoma Nasofaring,” J. Radiol. Indones., vol. 2, no. 2, pp. 117–122, 2017, doi: 10.33748/jradidn.v2i2.55.
E. Ndruru, “Penerapan Metode Certainty Factor Dalam Mendiagnosa Penyakit Cacar Pada Kulit Manusia,” J. Armada Inform., vol. 3, no. 1, pp. 10–22, 2019, doi: 10.36520/jai.v3i1.44.
L. Hutajulu, H. Sunandar, and I. Saputra, “Perbandingan Metode Md4 Dan Sha 384 Untuk Mendeteksi Orisinalitas Citra Digital,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 243–253, 2019, doi: 10.30865/komik.v3i1.1598.
E. Ndruru and T. Zebua, “Application of Text Message Held in Image Using Combination of Least Significant Bit Method and One Time Pad,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 13, no. 4, p. 323, 2019, doi: 10.22146/ijccs.46401.
T. Sari, I. Riadi, and A. Fadlil, “Forensik Citra untuk Deteksi Rekayasa File Menggunakan Error Level Analysis,” vol. 2, no. 1, pp. 133–138, 2016, [Online]. Available: http://ars.ilkom.unsri.ac.id.
I. Gede Nengah Bayu Darmawan, G. Made Arya Sasmita, and P. Wira Buana, “Pengembangan Metode Pendeteksi Modifikasi Citra Menggunakan Metode Error Level Analysis,” J. Ilm. Merpati (Menara Penelit. Akad. Teknol. Informasi), vol. 7, no. 1, p. 29, 2019, doi: 10.24843/jim.2019.v07.i01.p04.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Metode Error Level Analysis dan Laplacian of Gausian Untuk Deteksi Tepi Citra CT Scan Paru-Paru
ARTICLE HISTORY
Issue
Section
Copyright (c) 2020 Eferoni Ndruru, Murdani Murdani
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
