Laser & Optoelectronics Progress, Volume. 56, Issue 24, 241004(2019)

Elimination of Interferential Text from Images Based on Total Variation Model

Jianlong Dong1、* and Haoquan Wang2
Author Affiliations
  • 1Academic Affairs Office, Taiyuan Institute of Technology, Taiyuan, Shanxi 0 30008, China
  • 2Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan, Shanxi 0 30051, China
  • show less
    Figures & Tables(9)
    Schematic of area containing texts and its outer neighborhood
    Schematic of pixels with text interference and their neighborhood points
    Image with text interference
    Detection for text interference. (a) Detection result of edge in Fig. 3; (b) result of binarization of Fig. 4(a)
    Location of interference text. (a) Connected domain processed by morphology; (b) result after removing connected domain with few pixels
    Images obtained by morphological processing and removing small connected domain. (a) Gray scale corresponding to image to be repaired; (b) gray scale after binarization
    Location of interference text. (a) Mask pattern; (b) image with text to be processed
    Result after eliminating interference text in image by using TV model. (a) 5 iterations; (b) 60 iterations
    Results after eliminating interference text in image by using TV model with different iterations. (a) Image to be processed; (b) 50 iterations; (c) 100 iterations; (d) 300 iterations
    Tools

    Get Citation

    Copy Citation Text

    Jianlong Dong, Haoquan Wang. Elimination of Interferential Text from Images Based on Total Variation Model[J]. Laser & Optoelectronics Progress, 2019, 56(24): 241004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Apr. 11, 2019

    Accepted: Jun. 5, 2019

    Published Online: Nov. 26, 2019

    The Author Email: Dong Jianlong (120126130@qq.com)

    DOI:10.3788/LOP56.241004

    Topics