# Multi-measuring-point planeness evaluation method based on support vector classification

## A technology of support vector classification and support vector machine, which is applied in the direction of measuring devices and instruments, can solve the problems of complex calculation, falling into local optimum, and difficult to guarantee the accuracy of evaluation, so as to improve calculation efficiency, improve accuracy and reduce calculation The effect of data volume

Active Publication Date: 2012-06-20

SOUTH CHINA UNIV OF TECH

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## Abstract

The invention discloses a multi-measuring-point planeness evaluation method based on support vector classification. The method comprises the following steps: sampling points on a tested surface to obtain a three-dimensional coordinate measurement value of each point; calculating a least square surface corresponding to a measurement point set; with the least square surface as a reference, removing measurement points with a small residual absolute value; moving measurement points with a big residual absolute value for the same distance respectively along the positive direction and the negative direction of the normal direction of the least square surface to form a linearly separable positive point set and negative point set; calculating the maximum interval plane of the positive point set and the negative point set with a linearly classified support vector machine method; and calculating a planeness value according to the plane. According to the multiple-measuring-point planeness evaluation method, the calculation data amount in the multiple-measuring-point planeness evaluation can be reduced and the calculation efficiency and the accuracy of an evaluation result are obviously improved.

Application Domain

Measurement devices

Technology Topic

Least squaresPositive direction +4

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