Improved sub-pixel precision measurement method for distance between two straight lines
A precision measurement, sub-pixel technology, applied in the field of machine vision and physics, can solve the problem of image geometric distortion measurement error, and achieve the effect of improving straightness, simple structure and reducing error.
Active Publication Date: 2012-12-19
SHANGHAI RO INTELLIGENT SYST
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[0003] The purpose of the present invention is to provide an improved method for measuring the sub-pixel accuracy of the distance between two straight lines. The improved method for measuring the sub-pixel accuracy of the distance between two straight lines will solve the problems in the monocular machine vision measurement method in the prior art. Geometric distortion causes technical problems with large measurement errors
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[0014] Such as figure 1 and figure 2 As shown, the improved method for measuring the sub-pixel accuracy of the distance between two straight lines of the present invention includes a step of utilizing a single camera 4 to collect the contour image of the target object 2 and a step of using a sub-pixel edge extraction algorithm to obtain the edge from the contour image of the target object 2 The step, wherein, after the step of obtaining the edge from the outline image of the target object 2 is completed, two target straight lines are screened out from the edge, and then the two target straight lines are respectively trimmed to improve the straightness of the target straight line, Finally measure the distance between the trimmed two target lines.
[0015] In the step of using a single camera 4 to capture the outline image of the target object 2 , a backlight light source 1 is used for dark field illumination of the target object 2 , and the optical axis of the camera 4 is per...
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An improved sub-pixel precision measurement method for a distance between two straight lines includes a step of using a single camera to acquire a target object outline image and a step of using a sub-pixel edge extraction algorithm to obtain edges from the target object outline image. The method further includes: after the edges are obtained, screening out two target straight lines from the edges, trimming non-linear portions of the two target straight lines respectively to improve straightness of the target straight lines, and finally measuring the distance between the two trimmed target straight lines. By means of a geometric similarity measurement method, an object plane of a measured object is perpendicular to an optical axis of a single-camera system and parallel to an image plane, and the object and the image thereof meet the similar relation. The sub-pixel precision edges of the two straight lines are obtained from the image, the non-linear portions of the edges are trimmed to improve the straightness, the trimmed image is subjected to straight line fitting, and finally the distance between the two straight lines is measured. The improved sub-pixel precision measurement method for the distance between two straight lines is simple in structure, complex calibration and rectification processes are not avoided, and errors are reduced.
Description
Technical field: [0001] The present invention relates to the field of physics, in particular to measurement technology, in particular to the technology for measuring straight-line distances in the field of machine vision, and in particular to an improved sub-pixel precision measurement method for the distance between two straight lines. Background technique: [0002] In the prior art, machine vision measurement methods can be divided into three types: monocular vision measurement, binocular vision stereo measurement and multi-eye vision measurement according to the number of sensors used. Among them, binocular vision stereo measurement and multi-eye vision measurement have high requirements on hardware, the camera calibration and registration process is complicated, and the measurement speed is slow in the application of online real-time measurement. The monocular vision measurement method adopts the geometric similarity measurement method, which has the characteristics of s...
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Inventor 沈安祺王培源李侠刘超何星
Owner SHANGHAI RO INTELLIGENT SYST