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Method for detecting potential defects of complicated-structure castings on basis of vertical cross line contour features

A technology of complex structures and contour features, applied in image data processing, instruments, calculations, etc., to achieve the effect of improving the final defect detection rate and reducing the impact of structures

Active Publication Date: 2018-03-16
ZHEJIANG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art, and propose a complex structure casting potential defect detection method based on vertical vertical and horizontal line contour features, and extract possible defect areas through gray-level morphology top-hat and Canny edge detection; analyze two The contour properties of vertical and horizontal gray curves perpendicular to each other, feature extraction

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  • Method for detecting potential defects of complicated-structure castings on basis of vertical cross line contour features
  • Method for detecting potential defects of complicated-structure castings on basis of vertical cross line contour features
  • Method for detecting potential defects of complicated-structure castings on basis of vertical cross line contour features

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Embodiment Construction

[0064] The method for detecting latent defects of castings with complex structures based on the profile features of vertical vertical and horizontal lines of the present invention will be further described below using the accompanying drawings and embodiments.

[0065] Such as figure 1 Shown, embodiment of the present invention is as follows:

[0066] Step 1: Use the unsharp mask algorithm to sharpen the original image, and use the gray-level morphological top-hat operation to highlight the local high-brightness areas to achieve image preprocessing. The process is as follows:

[0067] 1.1) First extract the high-frequency components of the image, and create a size of Gaussian operator, where A is the size of the preset potential defect, set the standard deviation to 4, perform Gaussian filtering on the original image, subtract the result of Gaussian filtering from the original image to obtain the high-frequency component of the image; then add the high-frequency image to th...

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Abstract

The invention discloses a method for detecting potential defects of complicated-structure castings on basis of vertical cross line contour features. The method comprises the following steps of: acquiring an X-ray image of a complicated-structure casting, sharpening the image by adoption of an anti-sharpening mask algorithm, and carrying out grayscale morphological top hat operation; marking a connected domain by adoption of Canny edge detection, preliminarily screening defect-possible areas through a pixel area of the connected domain; extracting interested areas, solving grayscale informationof cross lines passing the center of the interested area in eight directions, and screening two mutually vertical cross lines; and analyzing grayscale image contour change features of the two cross lines, eliminating background influences, and judging whether defects are real defects or not according to the contour change features. The method has the effects of highlighting fuzzy defect areas which are difficult to distinguish by human eyes, improving the defect edge detection effect, decreasing the influences of corner area structures of small castings and effectively improving the final defect detection rate.

Description

technical field [0001] The invention relates to the field of digital image defect detection, in particular to a method for detecting latent defects of castings with complex structures based on vertical vertical and horizontal line profile features. Background technique [0002] X-ray inspection is a way to realize the non-destructive inspection of industrial castings. The internal structure image of industrial castings is obtained through X-rays, and then the unqualified castings are determined by manual inspection. This manual screening method can adapt to the defect detection of complex structures, but the efficiency is low and it is easy to misjudge some vague defects. Realizing automatic detection of industrial parts defects is of great significance for improving the production efficiency of industrial parts and reducing manufacturing costs. [0003] The method of image processing used to detect casting defects can greatly improve production efficiency, reduce productio...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/12G06T7/136G06T7/187G06T5/00G01N23/04
CPCG06T7/0008G06T7/12G06T7/136G06T7/181G06T7/187G01N23/04G06T2207/20024G06T2207/20036G06T2207/20021G06T2207/10116G06T5/73
Inventor 赵昕玥张树有梁晶晶何再兴谭建荣
Owner ZHEJIANG UNIV
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