Vision-based flame analysis using motion and Edge Detection

Razmi, Suzilawati Mohd and Saad, Nordin and Asirvadam, Vijanth Sagayan (2010) Vision-based flame analysis using motion and Edge Detection. In: Intelligent and Advanced Systems (ICIAS), 2010 International Conference on.

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Abstract

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 amp; shape features can be achieved by using Background Subtraction and Edge Detection approach.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Dr Vijanth Sagayan Asirvadam
Date Deposited: 22 Nov 2012 02:55
Last Modified: 19 Jan 2017 08:24
URI: http://scholar.utp.edu.my/id/eprint/4640

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