relation: https://khub.utp.edu.my/scholars/919/
title: Vision-based flame analysis using motion and Edge Detection
creator: Mohd Razmi, S.
creator: Saad, N.
creator: Asirvadam, V.S.
description: Fire can lead to major financial losses to industries. Consequently, it is very crucial to develop a reliable method to detect an occurrence of fire. In this research, the algorithms for flame detection using video processing will be proposed. System identification will be used to obtain a process model of the flame. This paper stresses on the flame detection algorithm. The results show that detection of flame using motion & shape features can be achieved by using Background Subtraction and Edge Detection approach.
date: 2010
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Mohd Razmi, S. and Saad, N. and Asirvadam, V.S.  (2010) Vision-based flame analysis using motion and Edge Detection.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952763455&doi=10.1109%2fICIAS.2010.5716222&partnerID=40&md5=87b7e8c77f2861be4096e30b462f3c5a
relation: 10.1109/ICIAS.2010.5716222
identifier: 10.1109/ICIAS.2010.5716222