Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111506(2018)

An Edge Detection Algorithm Applied to Setting Machine

Lingxiao Fu**, Guangfeng Chen*, and Ge Chen
Author Affiliations
  • College of Mechanical Engineering, Donghua University, Shanghai 201620, China
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    Figures & Tables(20)
    Sketch of the edge detection system
    Top view of probe and moving textile. (a) Normal position; (b) left shift; (c) right shift
    Flow chart of detecting edge
    Pixel distribution
    Original image
    Gray scale response curve of textile and background
    Grayscale response curve with only edge information
    Flow chart for solving edge starting point xk
    Flow chart for solving edge terminating point xj
    Experimental platform
    Creamy white carpet edge detection result. (a) Original grayscale; (b) after median filtering; (c) after algorithm post-processing
    Edge detection result of dark gray cotton cloth with hollowed-out and white stripes. (a) Original grayscale; (b) after median filtering; (c) after algorithm post-processing
    Edge detection result of dark gray cotton cloth with hollowed-out and white stripes in a light gray background. (a) Original grayscale; (b) after median filtering; (c) after algorithm post-processing
    Contrast among OTSU algorithm, lattice Boltzmann algorithm, and designed algorithm for edge detection. (a) Original grayscale; (b) after median filtering; (c) after OTSU algorithm post-processing; (d) after lattice Boltzmann algorithm post-processing; (e) after designed algorithm post-processing
    • Table 1. Experimental parameters of environment platform

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      Table 1. Experimental parameters of environment platform

      ParameterDescription
      Ambient temperature range10-25 ℃
      Ambient humidity (relative)30%-60%
      Measuring height36 mm±2 mm
      Experimental backgroundUniform black light absorbent cloth with flannelette
      Environmental light irradiationNatural light in the laboratory
      Light source typeStripe white light source
      Intensity of light sourceConstant size, controlled by light source controller
      Linear CCD modelTCD1209DG
      CCD exposure time2 ms
      Lens magnification0.9×
      Algorithm computing platformMATLAB 2013a
      CPUIntel Core2 Duo CPU
      Operating system (OS)Windows 7
    • Table 2. Filtering data of 5×1, 7×1, and 9×1 templates

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      Table 2. Filtering data of 5×1, 7×1, and 9×1 templates

      TemplateNoise-to-signalratio /dBProcessingtime /ms
      5×138.49581.890
      7×138.21152.160
      9×137.62202.181
    • Table 3. High and low gray response fabric edge detection data

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      Table 3. High and low gray response fabric edge detection data

      FabricActual edge position(pixel ordinal number)Detected edge position(pixel ordinal number)Processing time /ms
      Creamy white carpet101310160.264
      Dark gray carpet9859890.265
    • Table 4. Edge detection data of dark gray cotton cloth with hollowed-out and white stripes

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      Table 4. Edge detection data of dark gray cotton cloth with hollowed-out and white stripes

      FabricActual edge positionDetected edge positionProcessing time /ms
      Dark gray cotton cloth withhollow and white stripes118911860.279
    • Table 5. Edge detection data for different background colors

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      Table 5. Edge detection data for different background colors

      BackgroundActual edge positionDetected edge positionProcessing time /ms
      Black background cloth118911860.279
      Light gray background cloth119011880.286
    • Table 6. Edge detection data of different algorithms

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      Table 6. Edge detection data of different algorithms

      AlgorithmActual edge positionDetected edge positionProcessing time /ms
      OTSU11639828.478
      Lattice Boltzmann1163115510.658
      Designed116311650.266
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    Lingxiao Fu, Guangfeng Chen, Ge Chen. An Edge Detection Algorithm Applied to Setting Machine[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111506

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    Paper Information

    Category: Machine Vision

    Received: May. 16, 2018

    Accepted: Jun. 8, 2018

    Published Online: Aug. 14, 2019

    The Author Email: Lingxiao Fu (2160654@mail.dhu.edu.cn), Guangfeng Chen (chengf@dhu.edu.cn)

    DOI:10.3788/LOP55.111506

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