Accurate extraction of laser fringe center line is a key step in online structured light vision measurement system. When there are too many pixels in the picture, the traditional Steger algorithm can not quickly extract the laser fringe center line. Therefore, a method of extracting the center of laser fringe based on Steger algorithm is proposed. In this method, firstly, the threshold method is used to segment the optical strip region, then the expansion algorithm is used to find the continuous optical fringe, and finally find the center of the light strip with Steger algorithm. Experimental results ompared with the classic Steger algorithm, the speed of optical strip extraction is improved.
The mainstream spectrum analysis algorithms include FFT spectrum estimation and Welch spectrum estimation, both of which have lower spectral resolution and depend on the number of sampling points. This article introduces a refinement algorithm based on FFT spectrum estimation, which moves the center frequency fo of the refinement range to the zero position of the spectrum graph, effectively suppressing spectrum aliasing and fence effects. After using a low-pass filter for filtering and resampling, the local sampling frequency is increased from the original 1000Hz to 5000Hz, known as ZoomTTT refinement. Then, energy center correction with a Hanning window is used to further improve the speed measurement accuracy. Compared to the 98% universal accuracy of Welch spectrum estimation analysis, the improved speed measurement accuracy reaches over 99.5% and the error fluctuation is smaller.
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