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Harris vertex extraction method and system for honeycomb regularity detection

A regularity and honeycomb technology, which is applied in the Harris vertex extraction method and system field of honeycomb regularity detection, can solve the problems of cumbersome steps and long time-consuming, and achieve the effect of high detection accuracy

Inactive Publication Date: 2020-08-14
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has the advantages of high precision and good robustness, but this method needs to scan the surface of the honeycomb core point by point, which is time-consuming and cumbersome.

Method used

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  • Harris vertex extraction method and system for honeycomb regularity detection
  • Harris vertex extraction method and system for honeycomb regularity detection
  • Harris vertex extraction method and system for honeycomb regularity detection

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Experimental program
Comparison scheme
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Embodiment 1

[0057] A Harris vertex extraction method for honeycomb regularity detection, the method is to identify and process the image of a designated honeycomb product, and judge the quality level of the honeycomb product through analysis; the method sequence includes the following steps: acquiring images, image processing, Vertex extraction and morphological analysis; the step "acquiring images" includes taking images and computer-reading images; the step "morphological analysis" is based on "image processing" to analyze and calculate the degree of deformation of the tested cellular product;

[0058] Said step "image processing" includes noise reduction filtering, balanced grayscale, binarization, skeletonization and burr filtering; said step "balanced grayscale" is to use image processing methods to further balance the grayscale of the cellular image; said step "Skeletonization" is to use a line with a pixel value of 1 as a line segment with a line width of 1 pixel to draw a skeleton ...

Embodiment 2

[0061] It is basically the same as "method embodiment 1", the difference is: the step "balancing the gray scale" is to first obtain the filtered image by median filtering, and then perform the opening operation on the filtered image to obtain the opening operation image, and use the filtering image The top-hat transformation of the image is performed by subtracting the open operation image to reduce the impact of uneven illumination and further optimize the grayscale quality of the image.

Embodiment 3，4

[0063] They are basically the same as "method embodiments 1 and 2", except that the step "glitch filtering" is based on the skeleton diagram, and the pixel point with pixel value = 1 is used as the center point, clockwise or counterclockwise Count the number of times of change of the pixel value of its eight neighbor pixels, if the number of changes is 2, then this point is a glitch endpoint, and the pixel value of this point is set to 0, and traverse all pixel points with pixel value=1; with the above method Based on the processed skeleton diagram, the above operations are repeated cyclically until there is no burr endpoint in a certain cycle period.

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Abstract

The invention discloses a Harris vertex extraction method and system for honeycomb regularity detection. The method comprises the steps of image acquisition, image processing, vertex extraction and morphological analysis, wherein in the step of vertex extraction, on the basis of a burr-free graph, a window with the size of 5 * 5 pixels is established by taking a pixel point with a pixel value of 1as a central point, an angular point response function value R corresponding to the central point is calculated by adopting a Harris algorithm and is processed, and related work of vertex extractionis completed. The system comprises a detection table (1), digital cameras (2) and a computer (3), wherein the digital cameras (2) are electrically connected with the computer (3); the number of the digital cameras (2) is at least one, the resolution of the digital cameras (2) is not lower than 1080P, a telecentric lens is configured, and the installation mode of the telecentric lens is a fixed mode or / and a movable mode. The method and the system have the advantages of being scientific, reasonable, simple, easy to implement, high in detection precision, closer to actual conditions and the like.

Description

technical field [0001] The invention relates to the technical fields of design, manufacture and application of light structure products of transportation, machinery, aerospace, ships and other equipment, in particular to a Harris vertex extraction method and system for honeycomb regularity detection. Background technique [0002] Lightweight honeycomb products are widely used due to their excellent load-carrying capacity and good energy absorption characteristics. For example, high-speed trains also widely use lightweight honeycomb products. However, cellular products are prone to cell deformation during production, transportation and use, and the deformation will have an important impact on the performance of the honeycomb product. Therefore, it is necessary to evaluate the cell deformation of the honeycomb product, that is, the geometric regularity, so as to judge the quality of the honeycomb product. [0003] The Chinese patent application number is 201910503383.7, and i...

Claims

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Application Information

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IPC IPC(8): G01B11/16G06T7/00G06T5/00
CPCG01B11/16G06T7/0004G06T2207/20032G06T5/70
Inventor 王中钢崔灿梁习锋许平姚术健彭勇袁可
Owner CENT SOUTH UNIV