Sample Training Based Wildfire Segmentation by 2D Histogram θ-Division with Minimum Error

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 explo...

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Detalles Bibliográficos
Autores principales: Zhao, Jianhui, Dong, Erqian, Sun, Mingui, Jia, Wenyan, Zhang, Dengyi, Yuan, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710650/
https://www.ncbi.nlm.nih.gov/pubmed/23878526
http://dx.doi.org/10.1155/2013/572393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710650/
https://www.ncbi.nlm.nih.gov/pubmed/23878526
http://dx.doi.org/10.1155/2013/572393

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