دورية أكاديمية
Identifikasi Obyek Bergerak Berbasis Segmentasi Warna RGB
| العنوان: | Identifikasi Obyek Bergerak Berbasis Segmentasi Warna RGB |
|---|---|
| المؤلفون: | Sari, Risna Julia, Gaffar, Achmad Fanany Onnilita, Putra, Arief Bramanto Wicaksono |
| المصدر: | Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi); Vol 3, No 1 (2018): Prosiding Seminar Nasional Ilmu Komputer dan Teknologi Informasi (SAKTI); 22-29 ; 2540-7902 ; 2541-366X |
| بيانات النشر: | Mulawarman University |
| سنة النشر: | 2018 |
| المجموعة: | eJournals System Universitas Mulawarman |
| مصطلحات موضوعية: | Artificial Intelligence, Akuisisi, Segmentation, Multi-Thresholding, Quantitation, Adjustment, RGB, Seminar Nasional Ilmu Komputer Dan Teknologi Informasi (SAKTI) |
| الوصف: | Penelitian ini menerapkan metode segmentasi warna berbasis komponen RGB untuk mengidentifikasi obyek bergerak. Metode kuantisasi berbasis multi-thresholding yang diterapkan di tiap komponen RGB digunakan untuk memisahkan pola obyek dalam citra. Teknik adjustment digunakan untuk mengatur contrast dan brightness dari citra yang sudah terkuantisasi. Segmentasi warna RGB dilakukan dengan memperkurangkan antar komponen R, G dan B. Terdapat 6 (enam) kemungkinan segmentasi warna yaitu segmentasi R-G, RB, G-R, G-B, B-R dan B-G. Dari hasil percobaan yang dilakukan, diperoleh segmentasi terbaik untuk mendeteksi obyek bergerak adalah segmentasi R-B untuk dominan frame warna red, segmentasi G-B untuk dominan frame warna green, dan segmentasi B-R untuk dominan frame warna blue. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://e-journals.unmul.ac.id/index.php/SAKTI/article/view/2062/pdfTest; https://e-journals.unmul.ac.id/index.php/SAKTI/article/view/2062Test |
| الإتاحة: | https://e-journals.unmul.ac.id/index.php/SAKTI/article/view/2062Test |
| حقوق: | Copyright (c) 2018 Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) ; http://creativecommons.org/licenses/by-nc-sa/4.0Test |
| رقم الانضمام: | edsbas.3EAA2D5E |
| قاعدة البيانات: | BASE |
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