Regional Gamma precorrection phase error compensation method in large view field structured light vision measurement
A visual measurement, phase error technology, applied in the field of phase error compensation, adaptive subregional Gamma pre-correction phase error compensation
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Embodiment 1
[0037] see Figure 1 to Figure 8 As shown, a sub-area Gamma pre-correction phase error compensation method in a large field of view structured light vision measurement of the present invention includes: first, counting the distribution of Gamma values in the entire measurement field of view, and according to the required measurement accuracy, Set the allowable Gamma value change threshold to automatically divide the measurement area, and use different Gamma values to pre-correct each area after division.
[0038] Preferably, the following steps are included:
[0039] A1. The computer generates a set of ideal grayscale images. The range of grayscale changes is [80,230]. The grayscale value of any two adjacent grayscale images differs by 5 steps. After projection, the grayscale images are collected by the camera and extracted separately. Get the gray value of each pixel position in each gray image;
[0040] A2, adopt the least squares fitting method to respectively fit t...
Embodiment 2
[0055] Taking the structured light binocular vision measurement system as an example, the four-step phase shift method is used for measurement. The overall process flow chart is as follows figure 1 As shown, the specific steps are as follows:
[0056] Step 1. The computer generates a set of ideal grayscale images. The range of grayscale changes is [80,230]. The grayscale value of any two adjacent grayscale images differs by 5 steps. After projection, the grayscale images are collected by the left and right cameras, and Extract the gray value of each pixel position in each gray image respectively;
[0057] Step 2. Fit the grayscale input and output response curves of each pixel using the least squares fitting method to determine the Gamma value of each pixel position on the left and right images. The resolutions of the projector and the camera are both: 1600×1200 pixels. Consistent with the resolution of the camera and projector, construct two Gamma value matrices respectivel...
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