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All Journal Jurnal Elkasista
Hendro Dwi
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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 Hendro Dwi; Irfan Maulana Maulana; Choirul RiO Prabowo
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
Teknologi IMPLEMENTATION OF ENEMY IDENTIFICATION SYSTEM USING IMAGE PROCESSING TECHNOLOGY AUTOMATIC SECURITY ROBOT: Elektronika Irfan Maulana; Bintar Wijaya; Hendro Dwi
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.v6i2.624

Abstract

The Industrial Revolution brought significant advances in military technology, one of which was the development of a robotic system to improve security. Indonesia, particularly Papua, still faces armed threats. This study designed and implemented an image processing-based SS7 shield guard robot prototype to distinguish between friend and foe. The system uses a camera as a visual sensor, Raspberry Pi as a transmission center, and wireless data transmission to the guard post in real time. Tests were conducted at varying distances (2-16 meters), viewing angles (0°–90°), and light intensity (0-maximum Lux). The best results were obtained at a distance of 2-12 meters, an angle of 0°-60°, and a minimum illumination of 169 lux, with stable detection accuracy across a wide range of objects. The system demonstrated optimal performance in bright conditions and decreased at 0 Lux illumination. These findings demonstrate that the integration of hardware and image processing algorithms can support improved security for military posts and serve as an initial step towards the development of more adaptive automated security systems in the future.
Co-Authors Bintar Wijaya Choirul RiO Prabowo Irfan Maulana Irfan Maulana Maulana