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A Grinding Surface Roughness Detection Method Based on Quaternion Singular Value Entropy Index

A surface roughness and detection method technology, applied in the direction of measuring devices, instruments, optical devices, etc., can solve the problem that it is difficult to obtain significant color difference information, and achieve the effect of simplified optical path design, high accuracy, and reduced reflection process

Active Publication Date: 2021-07-27
GUILIN UNIVERSITY OF TECHNOLOGY
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  • Application Information

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Problems solved by technology

Since the ground sample itself does not have the characteristics of distinct colors, it is difficult to obtain significant color difference information by directly photographing the sample
At present, there is no related report on the use of singular value entropy index to characterize surface roughness

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  • A Grinding Surface Roughness Detection Method Based on Quaternion Singular Value Entropy Index
  • A Grinding Surface Roughness Detection Method Based on Quaternion Singular Value Entropy Index
  • A Grinding Surface Roughness Detection Method Based on Quaternion Singular Value Entropy Index

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Embodiment Construction

[0036] The object of the present invention is to explore a new index based on RGB color space and objectively, simple, accurately express surface roughness. In order to better illustrate the principles and applications of the present invention, first introduce the surface roughness evaluation mechanism and the application to mathematical basic theory of surface roughness applications.

[0037] 1. Surface roughness evaluation mechanism

[0038] The imaging principle of the rough surface is like figure 1 Indicated. When the light source is irradiated on the surface of the target A, the target A can be used as a point source. It is assumed that only two beam lights from point A. For the grinding sample reflection surface, the light emitted from the point A is diverged after the rough surface is reflected, and the same point will produce a plurality of brightness reduction, that is, a case Such as A1, A2, such as figure 1 The left picture shows. At the same time, when the light source...

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Abstract

The invention provides a grinding surface roughness detection method based on a quaternion singular value entropy index, which belongs to the technical field of roughness detection. The method includes the following steps: using the three imaginary parts of the pure quaternion to replace the three color components of the color image respectively; performing singular value decomposition on the pure quaternion matrix; intercepting the first 30 singular values, and calculating the singular value entropy index; using The support vector machine performs training and fitting on the singular value entropy index and the roughness value to predict the roughness. The method of the invention treats the color information as a whole, and provides a reasonable data structure expression, and can directly obtain the picture corresponding to the virtual image illuminated by the color light source on the surface of the object to be detected to detect its roughness, and the image is a color image, Non-grayscale images, so there is no process of image degradation, the accuracy of image processing is improved, and the accuracy of roughness detection results is higher.

Description

[Technical field] [0001] The present invention relates to the field of workpiece surface roughness detection, and more particularly to a grinding surface roughness detection method based on four-dimensional odd value entropy index. 【Background technique】 [0002] The surface roughness machine visual detection method is generally analyzed by analyzing the grayscale image, and the image gray value information is objectively quantized, and then the image texture analysis technology (image texture analysis techniques are generally summarized as spectral, structural and statistical three categories), The relationship between surface roughness and machine visual indicators is obtained. Since the grayscale image is a degraded image, the sensitivity of the image feature on the surface roughness is reduced to a certain extent, and it is not very good to view the judgment; and the application of more gray symbiotic matrix methods Combined with a microscopic device, it causes small test fie...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01B11/30
CPCG01B11/30
Inventor 易怀安赵欣佳舒爱华
Owner GUILIN UNIVERSITY OF TECHNOLOGY