A flame detection technique based on fast mean shift and level set method

Wenhua Qiu; Jianhua Wu; Wu Gao

doi:10.1117/12.790845

19 February 2008 A flame detection technique based on fast mean shift and level set method

Wenhua Qiu, Jianhua Wu, Wu Gao

Proceedings Volume 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications; 66250P (2008) https://doi.org/10.1117/12.790845
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

The furnace flame images captured by the CCD are temperature fields inside the furnace. The flame images have some characteristics, such as noisy areas, low contrast and weak edges. The traditional edge detection methods are quick, such as Roberts, Canny etc, but the edges detected are often discontinuous and these methods are sensitive to noise. The level set is a new method to extract geometrical curve which can deal with the geometrical topological changes. It is effective on segmentation of non-rigid objects. But the level set method has some problems: firstly, the computation is very complex; secondly, if the initial curve is given arbitrarily, there would be an increase in iteration times and computational complexity. In view of these features, this paper puts forward a technique which uses fast mean shift and level set methods to segment flame images. Making use of fast mean shift to get the original contours for level set method so that it can decrease iteration times of the level set function. Experimental results indicate that the proposed algorithm can identify the combustion state of a flame more effectively and improve the evolution of the level set function. So it is of extensive practical use.

Citation Download Citation

Wenhua Qiu, Jianhua Wu, and Wu Gao "A flame detection technique based on fast mean shift and level set method", Proc. SPIE 6625, International Symposium on Photoelectronic Detection and Imaging 2007: Related Technologies and Applications, 66250P (19 February 2008); https://doi.org/10.1117/12.790845

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Flame detectors

Image processing algorithms and systems

Combustion

Detection and tracking algorithms

Edge detection

Interfaces

Show All Keywords

Keywords/Phrases

Search In:

Publication Years