计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 215-218.doi: 10.11896/jsjkx.200500067
陈建强, 秦娜
CHEN Jian-qiang, QIN Na
摘要： 为实现高铁白车身焊接拼装技术的智能化与自动化,解决焊接过程中特征区域小、背景干扰多等问题,提出了基于迁移学习和卷积神经网络的焊接装配特征快速识别算法。首先采用二值化等传统图像处理算法确定待提取特征的粗略位置,在此基础上再使用sobel、腐蚀、霍夫线段检测确定特征区域的精确位置。其次,考虑到不同环境下,精确定位后特征区域表现不同,故采用基于卷积神经网络的分类模型以增强预测模型的鲁棒性和准确性。最后,选择基于迁移学习的的视觉几何群网络(VGG16)来解决样本量不足以训练整个模型参数的问题。实验结果表明,本文所提的识别算法能够准确识别型材的状态,且在识别检测速度上优于YOLOV3,在准确率上劣于YOLOV3,算法满足使用场景下的实时性要求。
中图分类号:
| [1] YANG S Y.Image recognition and project practice:VC ++ and MATLAB technology implementation [M].Electronic Industry Press,2014. [2] KRIZHEVSKY A,SUTSKEVER I,HINTON G.Image NetClassification with Deep Convolutional Neural Networks[J].Advances in neural information processing systems,2012,25(2):1097-1105. [3] LECUN Y,KAVUKCUOGLU K,et al.Convolutional Net-works and Applications in Vision[C]//Proceedings of 2010 IEEE International Symposium on Circuits and Systems.2010. [4] LIN T Y,GOYAL,PRIYA,et al.Focal Loss for Dense Object Detection[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2020,42(2):318-327. [5] PAN S J,YANG Q.A Survey on Transfer Learning[J].IEEE Transactions on Knowledge and Data Engineering,2010,22(10):1345-1359. [6] YUAN C L,XIONG Z L,ZHOU X H,et al.Research on image edge detection based on Sobel operator [J].Laser and Infrared,2009,39 (1):85-87. [7] BAKER L,MILLS S,LANGLOTZ T,et al.Power line detectionusing Hough transform and line tracing techniques[C]//International Conference on Image and Vision Computing New Zea-land.IEEE,2017:1-6. [8] YE H,SHANG G,WANG L,et al.A new method based onhough transform for quick line and circle detection[C]//International Conference on Biomedical Engineering & Informatics.IEEE,2016:52-56. [9] MAO X Y,LENG X F,et al.Introduction to Opencv3 programming [M].Beijing:Electronic Industry Press,2015. [10] SIMONYAN K,ZISSERMAN A.Very Deep Convolutional Networks for Large-Scale Image Recognition[J].arXiv:1409.1556. [11] DENG J,DONG W,SOCHER R,et al.ImageNet:A large-scale hierarchical image database[C]//CVPR.2009:248-255. [12] LI J,MEI X,PROKHOROV D.Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene[J].IEEE Transactions on Neural Networks & Learning Systems,2016,28(3):690-703. [13] ZHENG Z Y,LIANG B W,GU S Y,et al,TensorFlow combat Google deep learning framework(Second Edition) [M].Beijing:Electronic Industry Press,2017. |
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