The application provides an image gray
estimation method and
system,
computer equipment and a storage medium, and belongs to the field of
image processing, and comprises the following steps: projecting light stripes to a plane where a calibration plate is located, and calibrating plane equations of the light stripes; projecting multiple structure lights to a surface of a measured tubular object, collecting reflected light of the measured tubular object, and extracting light stripe centers; calibrating relative values of
surface reflection coefficients of the measured tubular object plane, and obtaining multiple
surface reflection coefficient values of the surface of the measured tubular object; taking mean values of the multiple reflection coefficients, and calculating a theoretical gray value of the surface of the measured tubular object according to the mean values of the multiple reflection coefficients. The application can accurately estimate the gray distribution of the surface of the object under specific illumination conditions by using optical
simulation, better simulates and optimizes influences of illumination, reflection and other factors on image gray, provides more reliable data support for defect detection of the tubular object, and improves the precision and robustness of the
structure light three-dimensional scanning.