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Workpiece surface defect feature extraction method

A workpiece surface and feature extraction technology, applied in the direction of optical testing flaws/defects, computer components, image data processing, etc., to achieve the effects of easy understanding, image quality improvement, and complexity reduction

Inactive Publication Date: 2019-10-18
JIANGSU MARITIME INST
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Problems solved by technology

[0003] At present, for workpiece surface defect detection technology, the defect is mainly separated based on the basic signal characteristics of the workpiece surface image and the gray features of organic defects, that is, the defect is separated by using the gray gradient difference between the image defect part and the background area, and the workpiece image feature The extraction process is very challenging due to factors such as occlusions, dynamic backgrounds, viewing angles, and lighting changes

Method used

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  • Workpiece surface defect feature extraction method

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Embodiment

[0041] A feature extraction method for workpiece surface defects, comprising the following steps:

[0042] (1) Source image acquisition: use professional imaging equipment to collect workpiece surface images;

[0043] (2) Source image preprocessing: improve image quality and image contrast;

[0044] (3) After removing the noise in the source image, the gray histogram is counted to obtain two maximum values ​​of image foreground and background gray, and the gray stretching algorithm is used to obtain the gray stretched image;

[0045] The grayscale stretching algorithm is calculated by the following formula:

[0046]

[0047] Among them, the gray level of the source image is 0~M, the background color is white, and the foreground color is black, a is the gray value corresponding to the maximum value of the foreground of the gray histogram in 0~M / 2, b is the gray value in M The gray value corresponding to the maximum value of the gray histogram background in / 2~M, x, y are t...

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Abstract

The invention discloses a workpiece surface defect feature extraction method. The method comprises the following steps: S1, source image acquisition; S2, preprocessing the source image; S3, thresholdvalue cutting; S4, positioning a workpiece area; S5, shearing; S6, filtering processing; S7, contour extraction; S8, feature extraction; and S9, feature vector identification. The method has the advantages that the adaptability to illumination change is good, the reverse selection and scale selection characteristics are good, and compared with an existing workpiece surface defect feature extraction method, the discrimination accuracy is improved, and meanwhile the robustness is also improved.

Description

technical field [0001] The invention relates to the technical field of workpiece quality detection, in particular to a method for extracting workpiece surface defect features. Background technique [0002] With the development of manufacturing technology, the requirements for the reliability of machining are getting higher and higher, and higher requirements are put forward for the automatic detection of workpiece surface defects. The development of a new automatic detection theory and method for workpiece surface defect extraction meets the urgent needs of enterprises, and is also of great significance to the basic theoretical research of mechanical disciplines. [0003] At present, for workpiece surface defect detection technology, the defect is mainly separated based on the basic signal characteristics of the workpiece surface image and the gray features of organic defects, that is, the defect is separated by using the gray gradient difference between the image defect par...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06T5/00G06T7/00G06T7/13G06T7/136G01N21/88
CPCG06T7/0004G06T7/136G06T7/13G01N21/8851G01N2021/8887G06T2207/10004G06T2207/20024G06T2207/30164G06V10/443G06T5/77G06T5/70
Inventor 赵君爱
Owner JIANGSU MARITIME INST
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