Computer Science

Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 396-399.doi: 10.11896/jsjkx.210100123

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Study on Digital Tube Image Reading Combining Improved Threading Method with HOG+SVM Method

SONG Yi-yan, TANG Dong-lin, WU Xu-long, ZHOU Li, QIN Bei-xuan   

  1. School of Mechanical and Electrical Engineering,Southwest Petroleum University,Chengdu 610500,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:SONG Yi-yan,born in 1997,M.S.student.His main research interests include image processing,deep learning and target detection.
    TANG Dong-lin,born in 1970,Ph.D,doctoral supervisor.His mian research interests include nondestructive testing and pattern recognition technology.
  • Supported by:
    Sichuan Science and Technology Support Plan Project(2017FZ0033).

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Abstract: In traditional projection method when rely too much on a single digital image are extracted image binarization and tilt correction effect problem,using a method based on contour extraction and contour sort of digital image segmentation method,experimental results show this method is compared with the projection segmentation on the success rate for segmenting the digital area increased by 13.5%;Against traditional threading method for number 1 low recognition and machine learning algorithms run takes longer problem,put forward an improved,based on the six characteristics of segment digital tube threading method and the HOG＋SVM method with the combination of digital identification method,the method of digital tube digital identification accuracy than traditional threading method by about 4.5%,and the average elapsed time only 1/5 ofthe HOG＋SVM method.The experimental results show the reliability and effectiveness of the method in digital tube reading.

Key words: Contour segmentation, Digital tube, HOG+SVM, Identifying and reading, Image processing, Stringing method

CLC Number: 

  • TP751
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