Surface crack texture extraction method based on fusion of seepage algorithm and adaptive Canny algorithm

A surface crack and extraction method technology, applied in computing, image data processing, computer parts and other directions, can solve the problems of unilateral crack edge detection, inaccurate crack edge positioning, insufficient crack continuity, etc., to save time, improve The effect of detection efficiency and labor cost reduction

Active Publication Date: 2017-02-22
INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI +1
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Problems solved by technology

But the Canny operator also has some problems: 1) Since the algorithm guarantees the accuracy of the detection, there are missed judgments in the detection process, resulting in interruptions in the detected cracks, which cannot maintain the connectivity of the original cracks; 2) due to the existence of Misjudgment phenomenon, there is a unilateral detection phenomenon in the detection of crack edges
However, the penetration algorithm c...

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  • Surface crack texture extraction method based on fusion of seepage algorithm and adaptive Canny algorithm
  • Surface crack texture extraction method based on fusion of seepage algorithm and adaptive Canny algorithm
  • Surface crack texture extraction method based on fusion of seepage algorithm and adaptive Canny algorithm

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Embodiment Construction

[0060] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the accompanying drawings.

[0061] as attached figure 1 As shown, the present invention discloses a crack texture extraction method that can be applied to the surface crack texture of various types of products, and the penetration algorithm and the self-adaptive Canny algorithm are fused. The following takes the low-voltage current transformer surface crack image as the object for specific description. Include the following steps:

[0062] S1. Acquire a surface crack image, and perform preprocessing on the surface crack image, where the preprocessing includes image smoothing and denoising processing. The surface sampling of the product to be inspected can be carried out through industrial cameras or other scanning equipment. As in this embodiment, the cracks on the surface of the low-voltage current transformer are extracted,...

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Abstract

The invention discloses a surface crack texture extraction method based on fusion of a seepage algorithm and an adaptive Canny algorithm. The method comprises the following steps: getting and preprocessing a surface crack image; processing the preprocessed surface crack image by using an adaptive Canny algorithm and a seepage algorithm respectively to get a first crack image and a second crack image; extracting the low-frequency component and high-frequency component of the first crack image and the low-frequency component and high-frequency component of the second crack image through wavelet transform; superimposing the extracted low-frequency components to get a fused low-frequency part, and superimposing the extracted high-frequency components to get a fused high-frequency part; and getting a reconstructed image through inverse wavelet transform, wherein the reconstructed image is a fused crack image. A more real crack image is obtained by the method. The method is used in a product appearance quality detection assembly line. By using the method, the detection efficiency is improved, time is saved, and the human cost is reduced.

Description

technical field [0001] The invention relates to a method for extracting a crack texture, in particular to a method for extracting a crack texture by combining a penetration algorithm and an adaptive Canny algorithm. Background technique [0002] Nowadays, there are more and more applications to obtain information by analyzing images, and the requirements for restoring the authenticity of image features are getting higher and higher, that is, to retain as many physical features of images as possible during processing, and to extract and analyze detailed information in images. Provide a reliable source. Taking the analysis of surface cracks as an example, in the process of image processing, physical characteristics such as the connectivity of cracks, details of crack edges, small branching burrs on edges, and the direction of crack tracks are preserved, and the authenticity of cracks is restored. It is of great significance to analyze the causes of cracks and prevent the form...

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Application Information

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IPC IPC(8): G06K9/46G06K9/40G06K9/44G06T7/13G06T5/50
CPCG06T5/50G06T2207/20221G06T2207/20064G06V10/30G06V10/40G06V10/34
Inventor 钟震宇马敬奇何峰吴亮生雷欢张红梅
Owner INST OF INTELLIGENT MFG GUANGDONG ACAD OF SCI
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