Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Vol 16 No 3 (2018): September 2018

EKSTRAKSI FITUR CITRA API BERBASIS EKSTRAKSI WARNA PADA RUANG WARNA HSV dan RGB

Denny Hardiyanto (Jurusan Teknik Elektro, Fakultas Teknologi Industri, IST AKPRIND Yogyakarta)
Dyah Anggun Sartika (Jurusan Teknik Elektro, Fakultas Teknologi Industri, IST AKPRIND Yogyakarta)



Article Info

Publish Date
20 Nov 2023

Abstract

The potential for fires increased at this time. Many factors cause fire, both small sale and large scale, such as forest fires. Early detection of fire is one of the right solutions. The Research about detection fire use any methods, you can use UAVs (Unmanned Aerial Vehicle), Android devices, and other technologies that are mostly based on image processing. This is one of the research based on image processing with fire objects. Fire image will be processed in the features extraction with the source of the fire coming from the candle. The candle is used as a detection object because the color characteristics of the fire in the candle as same as a larger scale fire. The method used is feature extraction based on colour extraction in HSV color space (Hue Saturation Value) and RGB color space (Red Green Blue). The result of this research are parameters of each color space for fire detection, there are HSV color space get 0,2≥Hue≥0,1; 0,85≥Saturation≥0,5; and 1≥Value≥0,9, and also for RGB color space get 255≥Red≥230; 250≥Green≥100; and 130≥Blue.

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Journal Info

Abbrev

fahma

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Description

Jurnal FAHMA adalah jurnal yang memuat naskah ilmiah dari peneliti, akademisi, maupun praktisi, berupa hasil penelitian, tinjauan pustaka ( literature review ) dan/atau bentuk karya tulis ilmiah lainnya, yang khusus mengkaji bidang Ilmu Komputer antara lain sebagai berikut : Kecerdasan Buatan, ...