Implementasi Pengolahan Citra Digital Sebagai Pengukur Nilai Resistor Pada Sistem Pemindai Resistor Berbasis Android

https://doi.org/10.22146/ijeis.7148

Satrio Firmansyah(1*), Danang Lelono(2), Rade Sumiharto(3)

(1) 
(2) Jurusan Ilmu Komputer dan Elektronika, FMIPA UGM
(3) Jurusan Ilmu Komputer dan Elektronika, FMIPA UGM
(*) Corresponding Author

Abstract


One of the gadget that is often used is Android smart phones. Android is an OpenSource, it could help user and developer to operate and develop Android Application. There are several problems that need image as an input system, it is caused by the humas’s ability in doing some mathematic functions or supported algorythm. To make the selection color used HSV color space. By using HSV color space allows a system to determine the color value resistor, because the hue value of the component is a representation of the actual color value. This is supported by the saturation level that serves as a color saturation and value as a brightness of color.

The results of this research is an implementation of digital image processing as a measure of the value of the resistor. The system is tested by the influence of light intensity and the distance between the camera and resistor. The best results were achieved with the conditions of the room in light intensity between 400 lux to 1200 lux the detection distance between the camera and resistor is 20 cm of maximum value.


Keywords


digital image processing, Android, resitor, HSV, light intensity, java

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References

[1] Usman, A. (2005). Pengolahan Citra Digital. Graha Ilmu, Yogyakarta.
[2] Hariyanto, 2009, Studi Penentuan Warna Menggunakan HSI, http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CCoQFjAA&url=http%3A%2F%2Ftelkomnika.ee.uad.ac.id%2Fn9%2Ffiles%2FVol.7No.1Apr09%2F7.1.4.09.02.pdf&ei=WddsUs7_K5DkrAfNuYDwBw&usg=AFQjCNFIGq9ex1p1ehyDLSHzFbO7MG8P2Q&sig2=w8pQmuGpaRDsczywhxft7Q&bvm=bv.55123115,d.bmk, diakses pada 23 April 2013.
[3] Luijten, H.J.C, 2005, Basic of Color Based Computer Vision Implemented in Matlab, Technische Universiteit Eindhoven.
[4] Gonzalez, Rafael, C., Woods, Richard, E., Eddins, Steven, L., (2004). Digital Image
Processing. Prentice Hall.

[5] Shahid, A.M., 2012, Purwarupa Sistem Pendeteksi Garis landasan Pacu Berdasar Pengolahan Citra, Skripsi Elektronika dan Instrumentasi, Fakultas MIPA, Universitas Gadjah Mada.
[6] Erwhin, I. 2013, Implementasi Pengolahan Citra Digital Sebagai Pengukur Tinggi Badan Pada Sistem Pengukur Keidealan Badan, Skripsi Elektronika dan Instrumentasi, Fakultas MIPA, Universitas Gadjah Mada.
[7] Simanjuntak, F., 2009. Pengolahan Citra Digital, http://digilib.ittelkom.ac.id/index.php?option=com_content&view=article&id=573:pengolahan-citra-digital&catid=15:pemrosesan-sinyal&Itemid=14, diakses pada 18 Mei 2013.



DOI: https://doi.org/10.22146/ijeis.7148

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