Steel rail damage B-display image recognition method based on deep convolutional neural network

• Main Authors: ZENG CHUQI, WANG PING, FU BIN, WANG QIHANG, YANG KANGHUA, YAO JIDONG, WANG XIAOMING, CHEN ZHENGXING, LIU YONG, HE QING
• Format: Patent
• Language: Chinese; English
• Published: 08.01.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; TESTING

The invention relates to the technical field of steel rail flaw detection, in particular to a steel rail flaw B-display image recognition method based on a deep convolutional neural network, which comprises the following steps of: 1, searching and storing four types of wave generation conditions of...