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Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error
Joint Authors
Zhao, Jianhui
Sun, Mingui
Jia, Wenyan
Yuan, Zhiyong
Dong, Erqian
Zhang, Dengyi
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
A novel wildfire segmentation algorithm is proposed with the help of sample training based 2D histogram θ-division and minimum error.
Based on minimum error principle and 2D color histogram, the θ-division methods were presented recently, but application of prior knowledge on them has not been explored.
For the specific problem of wildfire segmentation, we collect sample images with manually labeled fire pixels.
Then we define the probability function of error division to evaluate θ-division segmentations, and the optimal angle θ is determined by sample training.
Performances in different color channels are compared, and the suitable channel is selected.
To further improve the accuracy, the combination approach is presented with both θ-division and other segmentation methods such as GMM.
Our approach is tested on real images, and the experiments prove its efficiency for wildfire segmentation.
American Psychological Association (APA)
Zhao, Jianhui& Dong, Erqian& Sun, Mingui& Jia, Wenyan& Zhang, Dengyi& Yuan, Zhiyong. 2013. Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033068
Modern Language Association (MLA)
Zhao, Jianhui…[et al.]. Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error. The Scientific World Journal No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1033068
American Medical Association (AMA)
Zhao, Jianhui& Dong, Erqian& Sun, Mingui& Jia, Wenyan& Zhang, Dengyi& Yuan, Zhiyong. Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1033068
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033068