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Steel ball grinding crack detection method based on neighborhood gray level similarity

A technology of neighborhood grayscale and detection methods, applied in image data processing, instruments, calculations, etc., can solve problems such as large measurement errors, time-consuming and laborious, and achieve the effects of fast processing speed, wide application, and high measurement accuracy.

Inactive Publication Date: 2014-04-30
CHANGAN UNIV
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AI Technical Summary

Problems solved by technology

However, the current methods of measuring wear scars usually have problems such as large measurement errors, time-consuming and labor-intensive problems, etc.

Method used

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  • Steel ball grinding crack detection method based on neighborhood gray level similarity
  • Steel ball grinding crack detection method based on neighborhood gray level similarity
  • Steel ball grinding crack detection method based on neighborhood gray level similarity

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Experimental program
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Embodiment Construction

[0049] The wear scar detection method based on neighborhood gray similarity of the present invention specifically includes the following steps:

[0050] Step S1: Take out the steel ball after the four-ball friction test or extreme pressure test, use the electronic scanning mirror to collect the wear scar image of the steel ball, and read the wear scar image into the computer system;

[0051] Step S2: The collected wear scar image is a color wear scar image F of an RGB color model with a size of 768×1024;

[0052] Step S3: Grayscale the color image F. (R(p), G(p), B(p)) respectively represent the red R (Red, R) component value, green G (Green, G) component value and blue B (Blue, B) component of pixel p value; the grayscale of the color image F is shown in formula 1:

[0053] f(p)=0.3·R(p)+0.59·G(p)+0.11·B(p) (Formula 1)

[0054] Among them, f is the grayscale wear scar image, and f(p) is the grayscale value of pixel p.

[0055] Step S4: Calculate the neighborhood gray-scal...

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Abstract

The invention discloses a steel ball grinding crack detection method based on neighborhood gray level similarity. The method specifically includes the following steps that 1, a grinding crack image of a steel ball is acquired and read into a computer; 2, if the acquired grinding crack image is a color image, a step 3 is performed and if the acquired grinding crack image is a gray level image, a step 4 is performed; 3, graying is performed on the color image F; 4, a neighborhood gray level average figure M of the gray level grinding crack image f is calculated; 5, a neighborhood gray level deviation value of pixels is calculated; 6, binaryzation is performed on a neighborhood gray level deviation figure S; 7, fragment removal operation is performed on a neighborhood gray level similar figure L; 8, cavity filling operation is performed on a gray level similarity grinding crack figure D; 9, morphological opening operation is performed. According to the method, a grinding crack area of the steel ball can be detected rapidly, and accordingly the diameter of a grinding crack can be worked out directly.

Description

technical field [0001] The invention relates to a method for detecting steel ball wear marks in a four-ball machine, in particular to a detection method for steel ball wear marks based on neighborhood gray similarity. Background technique [0002] Using the four-ball method to conduct extreme pressure tests and friction tests on a four-ball machine can accurately determine the extreme pressure performance and anti-wear performance of lubricants. This method usually fixes the three standard steel balls below the test as load-bearing parts, and fills the lubricant in the load-bearing ball fixing cup, and the upper standard steel balls apply load through the transmission device, at the set temperature, speed and load. The lubricity, extreme pressure and wear resistance of the lubricant are determined by the operating state of the steel ball. The measurement parameters of lubricant performance are: maximum non-seizing load PB, sintering load PD and wear scar diameter d. When me...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 肖梅彭朝林马登辉韩光刘龙
Owner CHANGAN UNIV
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