Fourteen-point spherical wavelet transformation-based shape difference detection method for irregular parts

Abstract

The invention discloses a fourteen-point spherical wavelet transformation-based shape difference detection method for irregular parts, which mainly solves the problems that only simple geometrical shape features can be detected and the scale for detection is single, in the prior art. The fourteen-point spherical wavelet transformation-based shape difference detection method comprises the following implementation steps of: (1) determining sample of a reference group C and a study group S, registering parts, and scanning to obtain three-dimensional images; (2) obtaining the triangular mesh and the coordinate and the measured value of the vertex of each part by using a triangulation method; (3) carrying out fourteen-point spherical wavelet transformation on the measured values; (4) carrying out two-sample T detection on wavelet coefficients, and screening to obtain a vertex set J0; (5) carrying out secondary screening on the J0 to obtain a set J of the vertexes with shape differences; and (6) aiming at the vertexes in the set J, calculating and describing the vectors of the sizes, the positions and the features of the shape differences. The fourteen-point spherical wavelet transformation-based shape difference detection method for the irregular parts has the advantages of completion in scale, reliability in precision and strong anti-noise capacity and is applicable to the inter-group shape defect screening or distinction of two groups of part samples with different attributes.

Description

technical field [0001] The invention belongs to the technical field of computer graphic measurement, and relates to the detection of shape difference of irregular parts, specifically a method for detection of shape difference of irregular parts based on fourteen-point spherical wavelet transform, which can be used for two groups of parts samples with different characteristics Screening or screening of shape defects between groups. Background technique [0002] With the continuous development of science and technology and the improvement of social demand, the precision requirements of object parts in machining and other industries are getting higher and higher in actual production and life. In addition to the high precision requirements for simple geometric dimensions, the accuracy of shape The demands are also becoming more urgent. This requires that in the production process, in addition to detecting the conventional geometric dimensions of the parts, it is also necessary ...

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Problems solved by technology

[0006] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a method for detecting irregular part shape differences based on fourteen-point spherical wavelet transform, so as to overcome the limitation that common mesh shape difference detection methods can only detect specific simple features Due to the shortcomings of single-scale detection and detection, it is possible to accurately detect the shape difference of two groups of irregular or complex shape parts samples quantitatively, locating and sizing

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