Abstract
To evaluate quantitative defects in component parts using infrared imaging and image processing as preceding steps, minimizing the number of image errors that can occur during thermal imaging is necessary. To minimize image errors, we determined that correcting the slope error of the image was critical. To accomplish this, the slope rules for the vertical and horizontal axes of the infrared deterioration phase were respectively corrected. Here, the noise present in the image was determined to be an irrational factor in the quantitative evaluation. To remove this noise, image filtering was required and a median filter was applied. The size of the defect in the binary image was measured through a series of steps. The results of the quantitative defect evaluation for correcting the distortion of the slope were compared with the evaluation before the correction.
Published Version
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