Pauzi, Gurum A. and Warsito, Warsito (2016) Colour Classification Using Entropy Algorithm in Real Time Colour Recognition System for Blindness People. Conference on Science and Engineering for Instrumentation, Environment and Renewable Energy, 2016. ISSN 2518-6841


Download (501kB) | Preview
Official URL:


This article describes the real time instrumentation system to help blindness people for recognize a colour. Colour image captured by the digital camera, and it classified into ten basic colours names (black, brown, cyan, red, orange, yellow, green, blue, magenta, gray and white) by using entropy algorithm. The conclusion of colour classification will be informed to the user in sound or vocal information. This study has used two colour models HSV (hue, saturation and value) and RGB (red, green and blue). The accuracy of Classification using HSV has 90%, and RGB model has 71.5%.

Item Type: Article
Subjects: Q Science > QC Physics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Fisika
Depositing User: WARSITO
Date Deposited: 07 Jun 2017 08:46
Last Modified: 07 Jun 2017 08:46

Actions (login required)

View Item View Item