Filtering method for contour line data

A contour line and data technology, applied in the field of data processing, can solve the problems that the filtering center line deviates from the actual workpiece surface, cannot effectively process singular value data, and data distortion, etc., to achieve good processing ability of singular value data, small edge effect, high efficiency The effect of processing speed

Active Publication Date: 2012-10-03
TIANJIN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The traditional Gaussian filter has two main problems: one is poor robustness, when there are singular values ​​on the measured surface, the filtering center line will deviate

Method used

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  • Filtering method for contour line data
  • Filtering method for contour line data
  • Filtering method for contour line data

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Experimental program
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Embodiment 1

[0046] Embodiment 1: Apply the present invention to the processing of two-dimensional measurement data. The measurement data adopts the simulation data, that is, an appropriate amount of white noise and some random singular value data points are added to the sinusoidal signal. image 3 The specific processing effect diagram is shown, from which we can see that the traditional spline filter has a good overall processing effect, and there is almost no distortion on the edge curve, but near the singular value data point, the filtering center line is affected by the singular value data A large distortion occurred. However, after the processing of the present invention, not only the edge curve distortion is small and the overall processing effect is good, but also the singular value data can be processed very well without large distortion. Therefore, it is verified that the present invention is effective for processing two-dimensional measurement data, especially for processing da...

Embodiment 2

[0047] Embodiment two: Figure 4 It is the processing effect diagram of the present invention for three-dimensional shape data. The data is added with appropriate amount of white noise and various types of distribution singular value data points on the double sinusoidal surface data, such as Figure 4 as shown in a. Figure 4 b is an effect diagram after filter processing by the method of the present invention, it can be seen that not only ordinary white noise points can be filtered out, but also singular value data points can be filtered out very well. The amount of data in the calculation process is 4 million points, and the time-consuming is about 7.2 seconds.

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Abstract

The invention belongs to the technical field of data processing in the contour measurement theory and relates to a filtering method for contour line data. The filtering method for the contour line data comprises the following steps: 1) performing the spline filtering to the original measurement data to obtain the filter centerline data; 2) solving weight judgment values corresponding to each data measurement point; 4) setting constant parameters, and comparing the weight judgment values vi of each point with the constant parameters to solve the weight values of each point; 5) recognizing the data of singular values according to the weight values, judging the points with the weight values of 0 as the data points of the singular values, and marking the range of the abnormal data; and 6) replacing the other points in the range of the data of the singular values by the average value of the data of the two data boundary points to obtain a set of new data without the data of the singular values, and performing the cascaded approximating Spline filtering to the new data to obtain the final filter centerline data. The filtering method for the contour line data can stably filter the contour line data.

Description

Technical field [0001] The invention belongs to the data processing technology in the contour measurement theory, which can realize the robust filter processing of the contour data, especially for the effective processing of the contour line measurement data or surface measurement data. Background technique [0002] When the surface topography is measured with the help of three-dimensional measurement technology, affected by the measured signal source itself, the stability of the measurement system or the noise of the external environment, the collected signals contain various noises and interferences, resulting in random errors in the measurement data. and gross errors, the noise and interference in the measured signal must be eliminated by means of filtering algorithms. Realize the acquisition of real surface topography measurement data. For the profile filter, two sets of standards are mainly adopted in the world: ISO11562 recommends using the Gaussian filter center line...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 张效栋
Owner TIANJIN UNIV
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