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Unsupervised background-constrained tank segmentation of infrared images in complex background based on the Otsu method

In an effort to implement fast and effective tank segmentation from infrared images in complex background, the threshold of the maximum between-class variance method (i.e., the Otsu method) is analyzed and the working mechanism of the Otsu method is discussed. Subsequently, a fast and effective meth...

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Detalles Bibliográficos
Autores principales: Zhou, Yulong, Gao, Min, Fang, Dan, Zhang, Baoquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996814/
https://www.ncbi.nlm.nih.gov/pubmed/27625967
http://dx.doi.org/10.1186/s40064-016-3094-4