Method for extracting center line of laser stripe

Abstract

The invention discloses a method for extracting a center line of a laser stripe and belongs to the technical field of machine vision. The method comprises the following steps: S1, carrying out de-noising processing on an optical stripe image to obtain a noiseless laser stripe image; S2, carrying out region extraction on the noiseless laser stripe image obtained in the step S1 so as to obtain a small-area rectangular region comprising all the laser stripes; S3, removing pixel isolated points in the rectangular region obtained in the step S2; S4, processing the laser stripe which is obtained in the step S3 and of which the edge is not provided with burrs by adopting a Gaussian convolution method; S5, processing the smooth fuzzy laser stripe obtained in the step S4 twice by a gray weighted centroid method and extracting a secondary center line of the smooth fuzzy laser stripe; S6, carrying out nonuniform B spline fitting on the secondary center line obtained in the step S5 for three times so as to obtain the optimized center line of the laser stripe, i.e. implementing extraction of the center line of the laser stripe. According to the method disclosed by the invention, accuracy of extracting the center line is greatly improved; moreover, the method has a wide application range.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and more specifically relates to a method for extracting the centerline of laser stripes of a line structured light vision sensor. Background technique [0002] With the rapid development of the manufacturing industry, the shape design of products is becoming more and more complex. Complex curved surfaces are widely used in the engineering field, and complex curved surfaces with variable cross-sections are widely used in aero-engine blades, steam turbine blades, and marine propeller blades. Such parts are characterized by strong distortion, thin wall, easy deformation, and low damage, which cause difficulties in processing and inspection. Non-contact measurement based on machine vision technology has been widely used in the detection of such parts. At present, the three-dimensional shape measurement technology of structured light has two methods: binocular vision measurement and line stru...

AI Technical Summary

Problems solved by technology

[0022] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method for extracting the centerline of light fringes, the purpose of which is to use algorithms such as image Gaussian convolution, gray-scale center of gravity method and spline curve fitting to analyze the centerline of the measured image. Laser stripe processing greatly optimizes the influence of environmental noise on the centerline extraction process, improves the accuracy of centerline extraction, and is suitable for reflected light interference, excessive edge curvature of the surface of the measured object, and reflected light on the surface of the measured object Inhomogeneity, etc., thereby solving the technical problems in the prior art that the centerline extraction is easily affected by environmental noise, the extraction accuracy is limited, the calculation is large, and the scope of application is limited.

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