Share Email Print

Proceedings Paper

Study on extraction method of smoke contour by improved vibe algorithm and watershed algorithm
Author(s): Guo-qiang Cao; Jing-long Zhang; Hang Yin
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

A Vibe improved algorithm based on HIS color space and a watershed algorithm are used to obtain the smoke contours. The Vibe algorithm is used to extract smoke anomalies and smoke inaccuracies. In this paper, the classical Vibe algorithm is described, and the existing problems in the smoke detection are analyzed. A Vibe algorithm is proposed to change the gray color space and the HIS color space by using the color feature information and Vibe. The influence of light and shadow on the smoke extraction noise is reduced by using the difference of pixel value based on Euclidean distance. The problem of imprecision of smoke caused by Vibe algorithm is analyzed by using the watershed algorithm. Finally, the proposed method is evaluated by Barnich experiment standard. The experimental results show that the proposed method can extract the smoke profile more accurately and has good robustness.

Paper Details

Date Published: 15 November 2017
PDF: 7 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060545 (15 November 2017); doi: 10.1117/12.2296304
Show Author Affiliations
Guo-qiang Cao, Shenyang Aerospace Univ. (China)
Jing-long Zhang, Shenyang Aerospace Univ. (China)
Hang Yin, Shenyang Aerospace Univ. (China)

Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?