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Dwi , Hendro
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Materials Science & Nanotechnology

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IMPLEMENTATION OF RGB COLOR SEGMENTATION SYSTEM ON DIGITAL IMAGERY FOR OCTAVE-BASED COLOR DOMINANCE CLASSIFICATION: Elkasista Dwi , Hendro; Maulana, Irfan Maulana; Prabowo, Choirul RiO
Elektronika Sistem Senjata Vol 6 No 2 (2025): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v6i2.580

Abstract

Abstract: A digital color image consists of three main components, namely red, green, and blue, known as the RGB color model. This study aims to implement a color segmentation method on digital images to classify color dominance using Octave application. The segmentation process is carried out by comparing the intensity of each color channel and producing three output images: red-dominant, green-dominant, and blue-dominant regions. The image was used for testing the effectiveness of color separation through logical masking. The results show that this method accurately isolates objects based on dominant colors and can be applied to various image processing tasks such as object tracking, color classification, and visual analysis. This research provides a foundation for developing simple yet effective computer vision systems
Co-Authors Maulana, Irfan Maulana Prabowo, Choirul Rio