The application provides a
machine vision-based digital
processing system for natural
wood grain texture images and colors, comprising: an
image acquisition unit for acquiring personification color information features; a
color difference recognition and segmentation unit for recognizing natural defect types in a natural wood electronic original, including knots, dead knots, cracks, mineral lines and color change regions; the application effectively overcomes the influence of natural wood base
color depth and
surface roughness on inkjet color development by introducing an iteration formula for substrate
reflectivity and roughness compensation coefficients, realizes accurate restoration on deep or uneven wood, and simulates the visual
neglect characteristics of the
human eye for texture regions through a weighted average color value
algorithm, so that the automatic detection
system can objectively and accurately evaluate the
color difference of non-uniform surfaces, avoid misjudgment, and realize full-process
automation from defect recognition, color calculation, iteration printing to quality detection, greatly improving the efficiency of wood color modification process implementation.