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...
Main Authors: | Keming Mao, Duo Lu, Dazhi E, Zhenhua Tan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/18/6/1871 |
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