基于灰度与彩色图像处理的木破率测量法研究
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中南林业科技大学

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国家级大学生创新训练计划项目(202110538010);湖南省科技厅重点研发计划(2016NK2156)


Research on Wood Failure Percentage Measurement Method Based on Grayscale and Color Image Processing
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Central South University of Forestry and Technology

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    摘要:

    木破率是表征胶合木梁以及木质集成材胶合性能的重要指标,本研究提出了基于灰度、彩色图像处理的正交胶合木(cross-laminated timber CLT)木破率数字快速测量方法。为了验证该方法的可行性,以落叶松和碳化竹为基材,酚醛树脂(PF)和异氰酸酯(MDI)为胶粘剂制备的剪切破坏试样,在干湿剪切条件下进行破坏实验。对比实验法与基于灰度与彩色图像处理法的木破率值,结果表明:基于灰度与彩色图像处理法计算出的木破率值均与实验值保持较好的一致性,误差满足了工程应用要求,但木材破坏层次和木破率图像颜色变化对测量精度影响较大。其中,胶黏剂固有色变化对阈值分割的灰度木破率图像测量法精度影响较大,而环境影响则是像素统计的彩色木破率测量方法主要因素。

    Abstract:

    The wood failure percentage is an important indicator to characterize the glued performance of glulam beams and wood-laminated timber. In this study, a fast digital measurement method of CLT wood failure percentage based on grayscale and color image processing was proposed. In order to verify the feasibility of this method, the shear failure samples prepared with larch and carbonized bamboo as the base material and PF and MDI as the adhesives were tested under dry and wet shear conditions. The wood failure percentage calculated by the experimental method and the gray-scale and color image processing methods are in good agreement with the experimental values, and the errors meet the requirements of engineering applications. However, the color change of the wood damage level and the wood failure percentage image has a greater impact on the measurement accuracy. Among them, the change of the inherent color of the adhesive has a greater impact on the accuracy of the threshold segmentation gray-scale wood failure percentage image measurement method, while the environmental impact It is the main factor of the color wood failure percentage measurement method of pixel statistics.

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  • 收稿日期:2022-01-18
  • 最后修改日期:2022-05-12
  • 录用日期:2022-05-13
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