The present application relates to the technical field of corrugated board detection, and specifically discloses a corrugated board stacking defect detection method and
system based on
machine vision, wherein a ring-shaped
LED array light source at the side of a stacking
transmission line and a vertical diffuse
light source at the top are triggered at different times, an industrial
CCD camera synchronously acquires reflected light,
transmitted light and visible light channel images, image features are fused to generate a defect response graph, corrugated texture interference is eliminated through adaptive
Gaussian filtering, a maximum value proportion of the defect response graph is combined with dynamic adjustment of high and low double thresholds based on illumination, candidate defect regions are segmented and merged to calculate a preliminary stacking defect index, regional continuous edge
ridge lines are extracted to quantify periodic intensity, and illumination artifacts are excluded in combination with
structural similarity indexes, and finally a real defect index is obtained.The present application effectively improves the accuracy of stacking defect detection, reduces the
false alarm rate, can adapt to the detection requirements of illumination fluctuation and curved edge
rubbing plate defects, and meets the
quality control requirements of corrugated board production.