The present application provides a kind of self-insulation concrete wall real stone paint flatness
image detection method and
system, specifically, composite
structured light pattern is projected to the wall surface to be measured, the pattern is logarithmic
frequency modulation sinusoidal stripe as high-resolution phase carrier,
Gray code of two-dimensional absolute position information is superimposed and encoded in chroma channel, deformed pattern image is synchronously collected,
frequency response confidence map is generated based on the image,
global energy function containing confidence weight and
smoothing constraint is constructed, high-precision
absolute phase map is obtained by solving, and is converted into initial three-dimensional
point cloud, high-fidelity three-dimensional
point cloud is obtained by weighted nonlinear optimization, the three-dimensional
point cloud is converted into depth
height map, is decomposed to the scale corresponding to the detection standard by the two-dimensional
discrete wavelet transform associated with physical scale, the L1 norm of key scale
wavelet detail component is calculated,
macro fluctuation and surface texture energy coefficient are separated, and the quantitative representation of wall surface
macro flatness deviation is realized.