Sub-pixel precision edge extraction method applied to machine vision system
A technology of machine vision system and edge extraction, which is applied in the direction of instruments, image analysis, image data processing, etc., can solve the problem of insufficient resolution of the vision system
Active Publication Date: 2019-09-20
成都新西旺自动化科技有限公司
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Problems solved by technology
In high-precision alignment, the accuracy of 1 pixel often leads to insufficient resolution of the vision system. Therefore, it is very necessary to develop a contour acquisition method that can achieve sub-pixel accuracy of 0.1 pixel or even lower.
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specific Embodiment
[0038] see Figure 1-5 Shown, the specific embodiment that the present invention provides is as follows:
[0039] A sub-pixel precision edge extraction method applied in a machine vision system in this embodiment, the method includes:
[0040] S1. Extract the first sub-region A from the image IM to be processed, and obtain the graphic contour CP in the first sub-region A through an edge extraction operator (such as a Canny operator). At this time, the position of the graphic contour CP is an integer value; A sub-region width direction (Such as figure 2 middle direction) and height direction (Such as figure 2 middle direction) two-dimensional coordinate system, determine the coordinates of the upper left corner of the first sub-area A ;
[0041] S2. Set area movement constant , the is the shift constant for the width, the is the height shift constant;
[0042] S3. Extract the second sub-region B and the third sub-region C from the image IM to be processed,...
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The invention relates to a sub-pixel precision edge extraction method applied to a machine vision system. The method comprises the following steps of: extracting a first sub-region from the to-be-processed image, obtaining a graph outline in the first sub-region through an edge extraction operator; setting a region movement constant, extracting a second sub-region and a third sub-region from the to-be-processed image; determining coordinates of the left upper corners of the three sub-regions; performing cross-correlation operation on any two adjacent sub-regions; searching integer positions corresponding to the maximum values for from the obtained two-dimensional correlation spectrums respectively, obtaining sub-pixel precision positions corresponding to the two maximum values through calculation according to a three-point fitting interpolation formula, and using the sub-pixel precision positions corresponding to the maximum values for correcting the graph outline position points into the sub-pixel precision positions. The method has the beneficial effects that the cross-correlation peak position with the sub-pixel precision is obtained by performing the cross-correlation operation on the sub-image at the edge of the image, so that the edge position of the image with the sub-pixel precision is determined.
Description
technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a sub-pixel precision edge extraction method applied in a machine vision system. Background technique [0002] Alignment is a professional name for the precision assembly of devices in modern industrial production. Its typical applications are the installation of various flexible or rigid devices typically represented by mobile phone production. The specific implementation process is to install the object A at position 1 and the object B at position 2 together. During the installation process, the horizontal or rotational direction of object A or object B needs to be adjusted. A key link in realizing the alignment function is whether the precise positions of the above-mentioned object A and object B can be obtained. The precise positioning of an object is obtained by accurately calculating the contour position of the object on the image. The vision system acq...
Claims
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CPCG06T7/13G06T7/73
Inventor 虞建王盼刘中张勇
Owner 成都新西旺自动化科技有限公司