A Case Study on Attribute Recognition of Heated Metal Mark Image Using Deep Convolutional Neural Networks

Heated metal mark is an important trace to identify the cause of fire. However, traditional methods mainly focus on the knowledge of physics and chemistry for qualitative analysis and make it still a challenging problem. This paper presents a case study on attribute recognition of the heated metal m...

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Detalles Bibliográficos
Autores principales: Mao , Keming, Lu , Duo, E , Dazhi, Tan , Zhenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022075/
https://www.ncbi.nlm.nih.gov/pubmed/29880774
http://dx.doi.org/10.3390/s18061871

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022075/
https://www.ncbi.nlm.nih.gov/pubmed/29880774
http://dx.doi.org/10.3390/s18061871

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