The invention discloses a
solid wood furniture board intelligent nesting method considering texture direction constraint, which comprises the following steps of: synchronously generating a pixel-level defect segmentation image and a texture direction field from a board
digital image by adopting a deep neural network; for each to-be-trepanned part, constructing a comprehensive value map by fusing a defect repulsive force field generated by the defect segmentation map and a texture coordination map generated by the texture direction field; iteratively searching the optimal placement
pose of each part on the value map by adopting a
hybrid optimization strategy combining an artificial
potential field method and
simulated annealing; and after the
pose of one part is determined, the area occupied by the part is updated to be an unavailable area, and the process is repeated for the next part until nesting of all the parts is completed. The problems that in the prior art, defect
perception and
trepanning optimization are disjointed, texture constraint
processing is insufficient, and an optimization
algorithm is prone to falling into
local optimum are solved, and the plate
utilization rate and the product aesthetic quality can be improved.