Peningkatan Kontras Menggunakan Metode Contrast Limited Adaptive Histogram Equalization Pada Citra Paru-Paru Yang Kecanduan Rokok

 (*)Fitri Handayani Lubis Mail (Universitas Budi Darma, Medan, Indonesia)
 Muhammad Syahrizal (Universitas Budi Darma, Medan, Indonesia)
 Kennedi Tampubolon (Universitas Budi Darma, Medan, Indonesia)
 Sinar Sinurat (Universitas Budi Darma, Medan, Indonesia)

(*) Corresponding Author

Abstract

Image (Citra) is a combination of points, lines, fields, and colors to create an imitation of an object, usually a physical or human object. The use of digital images is increasing because of the advantages possessed by digital images, including the ease in getting images, reproducing images, processing images and others. The problem of contrast in the image captured by the camera is often some interference with the results of the captured image. For example, the image is accompanied by a lack of sharp increase in light, or weak in terms of contrast so that the object is very difficult to separate through operations containing because too much interference or contrast in the image. Based on the problem, to improve the image with less contrast it is necessary to increase the contrast by using the contrast limited adaptive method. contrast limited adaptive image is said to be good if it is able to involve all levels or levels. Of course the goal is to be able to display details in the image so that it is easily observed.

 

Keywords


Citra; Lung; Adaptive Contrast Limited

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References

P. Yulianto, J. Teknik, E. Fakultas, U. Wijaya, and K. Purwokerto, “Peningkatan citra untuk memperjelas foto brain ct scan,” vol. 11, no. 1, pp. 86–95, 2008.

J. Variasi, “Menghasilkan Kualitas Gambar,” vol. 08, pp. 58–62, 2016.

S. Nur, D. Sari, A. Fadlil, and P. Soepomo, “Sistem Identifikasi Citra Jahe (Zingiber Officinale) Menggunakan Metode Jarak Czekanowski,” Sarj. Tek. Inform., vol. 2, pp. 1104–1113, 2014.

R. Kumalasari, “Program studi teknik informatika fakultas teknik universitas nusantara pgri kediri tahun 2017,” 2017.

J. Ilmiah and P. Teknik, “IMPLEMENTASI METODE WATERFALL PADA PROSES DIGITALISASI,” 2017.

A. Aprilia, U. S. Maret, R. Saptono, and U. S. Maret, “Identifikasi Kualitas Beras dengan Citra Digital Identifikasi Kualitas Beras dengan Citra Digital,” no. February, 2015.

P. J. Citra, “No Title,” 2014.

R. D. Kusumanto and A. N. Tompunu, “PENGOLAHAN CITRA DIGITAL UNTUK MENDETEKSI OBYEK MENGGUNAKAN PENGOLAHAN WARNA MODEL NORMALISASI RGB,” vol. 2011, no. Semantik, 2011.

S. Dharwiyanti, “P e n g a n t a r U n i f i e d M o d e l i n g L a n g u a g e ( U M L ),” pp. 1–13, 2003.

H. Setiady, “Sistem Informasi Pemesanan Dan Penjualan Berbasis Web Pada Dewi Florist,” pp. 1–7.

S. Penggunaan et al., “UNTUK PENGEMBANGAN SISTEM INFORMASI BERKELAS ENTERPRISE Djoni Haryadi Setiabudi Ibnu Gunawan,” vol. 4, no. 1, pp. 30–38, 2003.

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