Modeling Method of Light Stripes on Cylindrical Surface Based on Cross-section Gray Level Energy Distribution

Abstract

The invention discloses a method for modeling light strips projected on a cylinder surface based on sectional gray scale energy distribution, which belongs to the measuring field of machine vision, and in particular relates to large visual field measurement in binocular and stereo vision. The method accords with the method for modeling light bars of features on a surface of a cylinder type workpiece to be measured. The method includes: obtaining the relation between image energy and light intensity of reflected light reflected from a cylinder type workpiece by using photoelectric conversion feature of a CCD camera, deriving the relation between the light intensity of the reflected light, laser incidence angle and the shooting angle of the camera by using surface geometrical characteristics of the workpiece to be tested; based on spatial geometrical characteristics, establishing the relation between a spatial distance incidence angle and a sectional position; obtaining a mathematic model which responds to sectional energy of light strips projected on the cylinder surface and geometrical properties by converting a spatial distance and a pixel distance on an image via the camera. The method of the invention performs fitting on laser light strips projected on the surface of the cylinder type workpiece by using a MATLAB fitting toolset, which has excellent fitting level and can provide assessment of the quality of light strips projected on the surface of the cylinder type workpiece to be tested and increase matching precision.

Description

technical field [0001] The invention belongs to the field of computer vision measurement, in particular to a method for establishing a light strip model conforming to the surface characteristics of a cylindrical workpiece to be measured in binocular stereo vision large field of view measurement. Background technique [0002] The measurement principle of binocular stereo vision is to obtain the geometric three-dimensional information of the object according to the two-dimensional image information of the two pictures taken by the binocular camera at the same time. In order to obtain the characteristic size of the object to be measured, it is necessary to project a light strip onto the surface of the object to be measured, use a camera to take a two-dimensional picture, and match the characteristic light strips in the two two-dimensional pictures to restore the three-dimensional feature information on the surface of the object to be measured . Since the characteristic informa...

AI Technical Summary

Problems solved by technology

If the model is not designed properly, it will easily deviate from the original light strip of the image, reduce the fitting accuracy of the model, cause the fitting effect to be unstable, and cannot obtain accurate results, which will affect the acquisition of two-dimensional information of the image, and then affect the restoration of the three-dimensional feature size

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