Part shape difference detection method based on multi-scale mesh vertex average gradient

Abstract

The invention discloses a part shape difference detection method based on multi-scale mesh vertex average gradient, which mainly solves the problems that only simple geometrical shape features can be detected and the detection scale is single in the prior art. The method comprises the following steps: firstly, fixing control group Cg and study group Sg samples to prepare all parts, and obtaining three-dimensional images after scanning, secondly, obtaining a triangular mesh of each part through triangulation, thirdly, calculating the vertex average gradient Qp of all vertexes in K scale meshes of all samples of the control group Cg and the study group Sg, fourthly, performing two-sample T-detection to the vertex average gradient Qp, and obtaining a shape difference vertex group J after two times of screening, and fifthly, calculating vectors describing the size, the position and the reliability of shape difference aiming at vertexes in the group J. The method has the advantages of complete scales, accuracy, reliability and high anti-noise property, and is applicable to the shape defect screening and determination between two groups of part samples with different attributes.

Description

technical field [0001] The invention belongs to the technical field of computer graphics measurement, and relates to the detection of shape differences of unqualified parts, specifically a method for detecting differences between parts shape groups based on the average slope of multi-scale grid vertices, which can be used for two groups with different attributes Screening or screening of shape defects between groups of part samples, etc. 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 nec...

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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 part shape differences based on the average slope of multi-scale grid vertices, so as to overcome the limitation that common grid shape difference detection methods can only detect specific simple features And detection is limited to a single scale, to achieve quantitative, locating and scaled accurate detection of shape differences between two groups of irregular or complex shape parts samples

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