Implementasi Hue Saturation Value (HSV) Untuk Identifikasi Fraktur Tulang


Authors

  • Rita Zahara Universitas Budi Darma, Medan, Indonesia

DOI:

https://doi.org/10.30865/resolusi.v2i5.369

Keywords:

Bone Fracture; Image Processing; Hue Saturation Value; Edge Detection

Abstract

Fracture or fracture is a break in the continuity of the bone, most of the fractures occur as a result of trauma, some fractures occur secondary to a disease process such as osteoporosis which causes pathological fractures. The cause of fracture is trauma, which is divided into direct trauma, indirect trauma, and minor trauma. The problem in this research is that the system can be designed to work properly to perform image processing which has shortcomings in the advantages of detection of edge images on bone invoices. Hue is a color known to humans such as red and green, colors that are captured by the human eye based on the wavelength produced. Saturation represents the purity level of the color or the amount of white light mixed with the hue. Each pure color has a saturation value of 100%. Edge detection serves to identify the outline of an object against an overlapping background. Color segmentation is the separation of segments in an image based on the colors contained in the image.

Downloads

Download data is not yet available.

References

D. Ibrahim, A. Hidayatno, and R. Isnanto, “Pengaturan Kecerahan dan Kontras Citra Secara Automatis dengan Teknik Pemodelan Histogram,” pp. 1–7, 2011, [Online]. Available: http://eprints.undip.ac.id/25538/.

P. Darma, Teori Pengolahan Citra. Bandung: Informatika, 2010.

T. Sutoyo, Pengolahan Citra Digital, Oky Dwi Nu., no. April. Bandung: Andi, 2010.

R. Munir, “Pengantar Pengolahan Citra,” Pengolah. Citra Digit., no. Bagian 1, pp. 1–10, 2013.

M. Dasopang, “Metode Perancangan Pengarangkat Lunak Mereduksi Noise Citra Digital Menggunakan Contraharmonic,” J. Ris. Komput., vol. 2, no. 6, pp. 56–61, 2015, [Online]. Available: https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/357.

P. M. Citra, “Metode kecerahan citra kontras citra dan penajaman citra untuk peningkatan mutu citra,” J. Sains 2010, no. January, pp. 1–26, 2017, [Online]. Available: https://eprints.umk.ac.id/110/1/METODE_KECERAHAN_CITRA_KONTRAS_CITRA.pdf.

J. Wibowo, “Deteksi dan Klasifikasi Citra Berdasarkan Warna Kulit Menggunakan HSV,” None, vol. 16, no. 2, p. 243286, 2011.

Glenys Yulanda, “Fakultas kedokteran universitas lampung bandar lampung 2017,” vol. 1, no. 5, pp. 51–57, 2017.

U. Rusmawan, Pemograman Aplikasi Dekstop VB.NET, PT Elex Me. Jakarta: Gramedia, 2011.

S. Santoso and R. Nurmalina, “Perencanaan dan Pengembangan Aplikasi Absensi Mahasiswa Menggunakan Smart Card Guna Pengembangan Kampus Cerdas (Studi Kasus Politeknik Negeri Tanah Laut),” J. Integr., vol. 9, no. 1, pp. 84–91, 2017.


Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Implementasi Hue Saturation Value (HSV) Untuk Identifikasi Fraktur Tulang

Dimensions Badge

ARTICLE HISTORY


Published: 2022-05-25
Abstract View: 160 times
PDF Download: 287 times