Material surface color feature on-line automatic detection method

A color feature, automatic detection technology, applied in color/spectral feature measurement, color measurement device, color measurement using color chart, etc. Standardization and other issues, to achieve the effect of the real-time detection method and system of material surface color characteristics is simple and easy to implement, has wide application prospects, and has high economic benefits

Inactive Publication Date: 2014-11-26
KUNMING UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This detection method is not only labor-intensive, but also has low detection accuracy and efficiency, and the detection results are easily affected by subjective factors such as the technical quality, experience, human eye resolution ability and visual fatigue of the inspectors, lack of accuracy and standardization, and are prone to missed detection and The phenomenon of inaccurate determination of quality grades, this backward detection method can no longer meet the requirements of the development of modern material industry

Method used

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  • Material surface color feature on-line automatic detection method
  • Material surface color feature on-line automatic detection method
  • Material surface color feature on-line automatic detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] Such as figure 2 As shown, the A material has four colors: black, dark gray, light gray and white, wherein black and white are impurities, and the less the content, the better. The evaluation criteria for the A material are: (1) Under normal circumstances (without impurities), the proportion of dark gray is 30%, the proportion of light gray is 70%, and the acceptable error is (-1%, 1%) If it meets this standard, it is qualified, otherwise it is unqualified; (2) If it contains impurities, the content of impurities (black and white) is less than 1%, and the proportion of black and white is less than 0.5%, otherwise it is unqualified, only the above two items When both are qualified, the surface quality of the material is qualified, otherwise it is unqualified.

[0047] The online automatic detection method of the surface color characteristics of the material, the specific steps are as follows:

[0048] (1) First select material standard samples according to the real-ti...

Embodiment 2

[0065] Such as Figure 9 As shown, the B material has five colors: black, dark gray, gray, light gray and white. The evaluation standard of the B material is: the proportions of black, dark gray, gray, light gray and white are respectively: 6% , 24%, 6%, 61% and 3%, the acceptable error is (-0.5%, 0.5%), if this standard is met, it is qualified, otherwise it is unqualified.

[0066] The online automatic detection method for the surface color characteristics of the B material, its specific steps are as follows:

[0067] (1) First select material standard samples according to the real-time environment and material types, and take several original images of the surface of the standard samples of materials to be tested by using 6 high-precision cameras that can cover the entire surface of the material standard samples to be tested. After image processing Obtain the standard color classification threshold; the steps for the standard color classification threshold are:

[0068] 1....

Embodiment 3

[0085] The online automatic detection method of the surface color characteristics of the material, the specific steps are as follows:

[0086] (1) First select material standard samples according to the real-time environment and material types, and take 100 original images of the surface of the material standard samples to be tested by using 10 high-precision cameras that can cover the entire surface of the material standard samples to be tested. After image processing Obtain the standard color classification threshold; the steps for the standard color classification threshold are:

[0087] 1.1 Read the surface original images of 100 standard samples of the material to be tested into matlab sequentially using the matlab function imread;

[0088] 1.2 Then use the matlab function rgb2gray to convert each original surface image in step 1.1 from a color image to a grayscale image;

[0089] 1.3 Use the matlab function sort to arrange the pixels of each grayscale image obtained in ...

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Abstract

The invention relates to a material surface color feature on-line automatic detection method, and belongs to the technical field of automatic on-line detection of material surface quality. First a material standard sample is selected according to real-time environment and the material type, by adopting a plurality of high-precision cameras capable of covering the surface of the whole material standard sample to be detected to shoot a plurality of original images of the surface of the material standard sample to be detected, and after image processing, a standard color classification threshold value is obtained; for a material to be detected, by adopting the plurality of high-precision cameras capable of covering the surface of the whole material to be detected to shoot a plurality of original images of the surface of the material to be detected, and after image processing, using the obtained standard color classification threshold value to calculate the surface color features of material to be detected; and the surface color features of the material to be detected are compared with evaluation criteria, and surface color quality grading of the material to be detected is obtained through on-line automatic detection. The detection method has relatively high application value, and the method is simple and easy to implement.

Description

technical field [0001] The invention relates to an online automatic detection method for material surface color characteristics, belonging to the technical field of automatic online detection of material surface quality. Background technique [0002] Materials are the material basis for human survival and development. In the 1970s, people regarded information, materials and energy as the three pillars of contemporary civilization. The new technology revolution represented by the high-tech group in the 1980s also listed new materials, information technology and biotechnology as important symbols of the new technology revolution. This is mainly because materials are closely related to national economic construction, national defense construction and people's lives. With the improvement of people's living standards, people's requirements for material quality have also increased to an unprecedented height. [0003] Due to the complexity of the production process of most mater...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01J3/52G01N21/25
Inventor 徐建新苏俞真桑秀丽王华肖汉杰
Owner KUNMING UNIV OF SCI & TECH
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