Improved Laser Fringe Center Extraction for Steger Algorithm Process
In the process of 3D measurement and reconstruction,it is important to accurately extract the center position of the laser stripe.However,due to the huge amount of computing of Steger's algorithm,it is difficult to meet the urgent needs of real-time in the industrial field.In order to overcome the problem of large computation and low extraction efficiency of Steger's algorithm,this paper improves it to accelerate the extraction of the center position of laser stripes.Firstly,the threshold segmentation method of peak and trough threshold segmentation is used to reduce the complexity of the preprocessed image.Then,by setting the minimum rectangular area and minimum aspect ratio,the region of interest is searched to reduce the re-dundant calculation of the algorithm.Finally,the region of interest is centrally extracted using the improved Steger algorithm.After experimental data analysis,the proposed algorithm retains the accuracy of the tradi-tional Steger algorithm and effectively improves the operation speed of the Steger algorithm,which provides strong support for real-time three-dimensional reconstruction.
Stegercenter extractionthreshold splittingarea of interest