机械制造与自动化2024，Vol.53Issue(3)：275-279,5.DOI:10.19344/j.cnki.issn1671-5276.2024.03.058
铁路车号CMOS图像传感信息智能识别方法
Intelligent Recognition Method of Railway Vehicle Number CMOS Image Sensing Information
刘为民1
作者信息
- 1. 中国铁路哈尔滨局集团有限公司哈尔滨车辆段,黑龙江哈尔滨 150080
- 折叠
摘要
Abstract
Rearding the increases of image repetition area and complexity of railway vehicle number recognition caused by mixed interferences of various external factors in the process of collecting railway vehicle number image with CMOS sensor,a railway vehicle number recognition method based on CMOS sensor is proposed.The CMOS sensor is used to collect the railway vehicle number image under the interference of various factors,and the deep convolution neural network is applied to detect the duplicate area of the railway vehicle number image,eliminate the useless rectangular frame,and determine the effective vehicle number area.With the Wiener filter,the railway vehicle number pre-selection frame area is de-noised to effectively avoid the adverse impact of interference factors on the railway vehicle number image quality.A railway vehicle number recognition model is built,trained by multi-task learning method,input the de-noised image to get the railway vehicle number recognition results.The experimental results show that the train number recognition by the proposed method has high accuracy and short time with good practical application effect.关键词
CMOS传感器/铁路车号/智能识别/维纳滤波器/多任务学习Key words
CMOS sensor/train number/intelligent identification/Wiener filter/mult-task learning分类
交通工程引用本文复制引用
刘为民..铁路车号CMOS图像传感信息智能识别方法[J].机械制造与自动化,2024,53(3):275-279,5.
