Candidate Smoke Region Segmentation of Fire Video Based on Rough Set Theory
Author
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Candidate smoke region segmentation is the key link of smoke video detection; an effective and prompt method of candidate smoke region segmentation plays a significant role in a smoke recognition system.
However, the interference of heavy fog and smoke-color moving objects greatly degrades the recognition accuracy.
In this paper, a novel method of candidate smoke region segmentation based on rough set theory is presented.
First, Kalman filtering is used to update video background in order to exclude the interference of static smoke-color objects, such as blue sky.
Second, in RGB color space smoke regions are segmented by defining the upper approximation, lower approximation, and roughness of smoke-color distribution.
Finally, in HSV color space small smoke regions are merged by the definition of equivalence relation so as to distinguish smoke images from heavy fog images in terms of V component value variety from center to edge of smoke region.
The experimental results on smoke region segmentation demonstrated the effectiveness and usefulness of the proposed scheme.
American Psychological Association (APA)
Zhao, Yaqin. 2015. Candidate Smoke Region Segmentation of Fire Video Based on Rough Set Theory. Journal of Electrical and Computer Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068090
Modern Language Association (MLA)
Zhao, Yaqin. Candidate Smoke Region Segmentation of Fire Video Based on Rough Set Theory. Journal of Electrical and Computer Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1068090
American Medical Association (AMA)
Zhao, Yaqin. Candidate Smoke Region Segmentation of Fire Video Based on Rough Set Theory. Journal of Electrical and Computer Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068090
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068090