High-quality binary stripe generation method based on multi-objective optimization jitter algorithm
A multi-objective optimization and binary fringe technology, which is applied in measurement devices, genetic models, genetic laws, etc., can solve problems such as projector nonlinearity, and achieve the effects of balancing measurement accuracy, increasing 3D measurement speed, and improving measurement accuracy.
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Embodiment 1
[0091] In order to solve the problem of time-consuming calculation, the objective function of the above formula (4) is used to optimize a binary block to replace the optimization of the entire binary fringe pattern, and then use the periodicity and symmetry of the sinusoidal fringe to convert the binary block to form a complete pattern. Assuming that the ideal fringe pattern changes sinusoidally in the x direction, the binary fringes to be optimized should not only have periodicity and symmetry in the x direction, but also have periodicity in the y direction, figure 1 is a flowchart of an optimization framework that replaces the entire binary fringe pattern by optimizing a binary block, and its main steps are described as follows:
[0092] (1) Determine the individual dimension of the population. The binarization size is initialized to S y ×S x , where S y = 1, S x =T / 2 is half a stripe period, and the population individual is determined to have a length of S y ×S x A o...
Embodiment 2
[0103] In order to solve the problem of time-consuming calculation, the objective function of the above formula (4) is used to optimize a binary block to replace the optimization of the entire binary fringe pattern, and then use the periodicity and symmetry of the sinusoidal fringe to convert the binary block to form a complete pattern. Assuming that the ideal fringe pattern changes sinusoidally in the x direction, the binary fringes to be optimized should not only have periodicity and symmetry in the x direction, but also have periodicity in the y direction, figure 1 is a flowchart of an optimization framework that replaces the entire binary fringe pattern by optimizing a binary block, and its main steps are described as follows:
[0104] (1) Determine the individual dimension of the population. The binarization size is initialized to S y ×S x , where S y = 1, S x =T / 2 is half a stripe period, and the population individual is determined to have a length of S y ×S x A o...
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