Deteksi Objek Berwarna Merah Secara Real Time Dengan Algoritma Color Filtering
DOI:
https://doi.org/10.30865/mib.v3i2.1114Abstract
The various knowledge and techniques of digital image processing currently available vary greatly. Research and development has been carried out towards object detection and tracking. Color is one of the parameters used to detect and track objects. Humans can distinguish a color, but a computer may not necessarily recognize that color. Digital image processing techniques that can recognize colors, one of which is color filtering. In this study, Color filtering is a technique of processing digital images based on specific colors, detecting and tracking colors by using a web camera (webcam) and red objects. Object Tracking is the process of following an object that moves and moves position, so that the colored object being tracked will draw in realtime with the results of the colors that can be selected.
References
Ardhianto, Eka, Hadikurniawati, Wiwien, Budiarso, Zuli. 2013. Implementasi Metode Image Subtracting dan Metode Regionprops untuk Mendeteksi Jumlah Objek Berwarna RGB pada File Video. ISSN: 0854-9524 Hal 92-93.
Annisa Sulistyowati, Hariyani, YS, Novianti, Atik. 2018. Perancangan Aplikasi Pembaca Warna Dan Bentuk Berbasis Pengolahan Citra Untuk Daftar Katalog Perpustakaan. e-Proceeding of Applied Science : Vol.4, No.3 Desember 2018. ISSN: 2442-5826 Hal 2557.
Buksh Narejo, Dr. Ghous, Bharucha SP. Real Time Finger Ciunting And Virtual Drawing Using Color Detection And Shape Recognition. Pakistan. NED University of Engineering and Texhnology. NED University of Engineering and Technology Karachi, Pakistan.
Khamdi, Nur, Susantok, Muhammad, Leopard, Piter. 2017. Pendeteksian Objek Bola Dengan Metode Color Filtering Hsv Pada Robot Soccer Humanoid. Vol: 6, No. 2, Juli 2017. ISSN: 2302 – 2949 hal 124.
Nana H, Asep, Rosmala, Dewi, Ichwan M, Indarko, RW. 2016. Implementasi Algortima Color Filtering Pada Aplikasi Gitar Virtual.Seminar Nasional Telekomunikasi dan Informatika (SELISIK 2016). 28 Mei 2016. ISSN:2503-2844 hal 255-256.
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