Robot Pengikut Posisi dengan Menggunakan Filter Warna HSV
Abstract
Advancement in digital processing technology have benefited to the human. One of the benefits of image processing is to improve the quality of an image, eliminate noise in and identify objects. By utilizing the technology, it can be developed a system that can detect and track objects. In this article, we develop a system to detect and track an object. We use the HSVcolor filter, erosion, dilation, and thresholding methods to detect the object. To measure the distance between object and robot, we apply the mathematical regression formula. The output of the equation is then used as actuator for the dc motor. The results achieved in this study is system can detect object in the distance range 50-180 cm and follow the object in the range 60-150 cm.
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References
Menggunakan MATLAB 7.1”, Universitas Guna
Darma.
[2] D. Simangunsong. (2016), “Optimasi Sensor
Kamera Pada Proses Identifikasi Warna Dengan
Pengolahan Citra menggunakan Design of
Experiment”, Universitas Telkom.
[3] R. Maulana, “Pengembangan Robot Rubik
dengan identifikasi warna menggunakan Sensor
Kamera”, Institut Teknologi Sepuluh November.
[4] H. Soebhakti, ”Pengukuran Jarak berdasarkan
Ekstraksi Nilai Hue pada Citra Depth
menggunakan Sensor Kinect”. Politeknik Negeri
Batam.
[5] S. Kolkur, (2017), “Human Skin Detection
Using RGB, HSV, and YCBCr color Model”,
Atlantis press.
[6] H. Wolfgang. (1990). “Smoothing Techniques
With Implementation in S”. Springer Verlag.
[7] N Senthilkumaran. (2016), “Image
Segmentation by Using Thresholding
Techniques for Medical Images”, India:
Gandhigram Rural Institute.
[8] R. Wahyusari dan B. Haryoko. (2017)
“Pemanfaatan Mathematical Morphology untuk
Deteksi Tepi Batik”, Jurnal Simetris, vol 8 no 1.
[9] B. Sugandi (2018), “Deteksi dan Pelacakan wajah
berdasarkan warna kulit menggunakan partikel
filter”, Jurnal Rekayasa Elektrika, Vol 14 no 2.
