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Method for deleting abnormal measuring data points in reverse engineering

A technology for measuring data and abnormal points, which is applied in the field of eliminating abnormal three-coordinate measurement data points, can solve problems such as data distortion, wrong probe contact parts, and sudden changes in the measurement environment of measurement equipment calibration parameters, so as to improve accuracy and model reconstruction. Ease of work effect

Inactive Publication Date: 2012-11-28
HENAN POLYTECHNIC INST
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Problems solved by technology

"Jump point" and "bad point" are also called distortion points, which are usually caused by changes in the calibration parameters of the measurement equipment and sudden changes in the measurement environment; for manual measurement, the data will be distorted due to operational errors, such as wrong contact parts of the probe

Method used

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  • Method for deleting abnormal measuring data points in reverse engineering
  • Method for deleting abnormal measuring data points in reverse engineering
  • Method for deleting abnormal measuring data points in reverse engineering

Examples

Experimental program
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Embodiment 1

[0031] Embodiment 1, the present invention takes points on a section of parabola and lists as attached image 3 In attached drawing a (shown by dots in the figure), the "+" in the attached drawing shows a series of center positions corresponding to the dot row. The results after adding random noise to the data point column are shown in the appendix image 3 In the attached drawing b, it can be seen from the figure that after adding random noise, the change of the center position is more obvious. Use the algorithm of this paper to correct the position. The dots in the attached figure show the position of the data point, and the position shown by "*" is the corrected position of the abnormal point after the algorithm of this paper. The algorithm proposed by the present invention is used repeatedly, and the threshold is gradually reduced as required, so as to achieve a more ideal position correction. attached image 3 Figure c in the figure shows the data points after applying...

Embodiment 2

[0032] Embodiment 2, with Figure 4 Figure a in the middle is part of the point cloud of the car surface scanned by the three-coordinate measurement system. The point cloud contains abnormal points (noise points) that make the contour boundary unclear. Attached Figure 4 Figure b in the middle is the point cloud of the car surface collected by the algorithm of the present invention. It can be seen that most of the abnormal points have been eliminated, and the outline is relatively clear.

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Abstract

The invention discloses a method for deleting abnormal point data in reverse engineering, wherein center distance deviation smoothness measuring date are utilized to obtain distortion points in a curve inspection method, and the obtained distortion points are deleted; the method well solves the data distortion problems caused by various factors, can improve the data measuring accuracy through the provided deleting strategy for the abnormal point data to obtain more complete right measuring data of a true model, and plays an important role in subsequent model reconstruction work.

Description

technical field [0001] The invention belongs to the field of reverse engineering, and in particular relates to a method for eliminating three-coordinate abnormal measurement data points in the surface measurement data preprocessing technology. technical background [0002] In reverse engineering, after the complex surface is digitally measured by a measuring system such as a coordinate measuring machine, a large number of discrete point clouds will be input into 3D modeling software or special reverse modeling software for 3D model reconstruction. However, there are some problems in data measurement. For example, due to the influence of man-made, various environmental parameters and random factors during the measurement process, noise points and measurement error data will be introduced, and the acquired data will have a negative impact on subsequent reconstruction. Large impact, such as the reconstruction model and the original product model will have certain differences in...

Claims

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Application Information

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IPC IPC(8): G01B21/00
Inventor 余东满史增芳李晓静郭辉高志华王笛张玉华孙育竹户燕会赵岩
Owner HENAN POLYTECHNIC INST
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