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

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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Bibliographic Details
Main Authors:	Keming Mao, Duo Lu, Dazhi E, Zhenhua Tan
Format:	Article
Language:	English
Published:	MDPI AG 2018-06-01
Series:	Sensors
Subjects:	attribute recognition heated metal mark convolutional neural networks
Online Access:	http://www.mdpi.com/1424-8220/18/6/1871

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