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Method and device for automatically restoring, measuring and classifying steel dimple images

A classification method and automatic recovery technology, which can be used in measurement devices, image analysis, image enhancement, etc., and can solve problems such as low efficiency and low precision

Inactive Publication Date: 2010-07-21
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of low efficiency and low precision of current manual measurement and classification methods, and proposes an automatic restoration and measurement of dimple images based on adaptive fuzzy threshold segmentation method and random dimple area algorithm. Classification method and device, using computer to realize automatic restoration of dimple images of iron and steel materials and accurate and efficient measurement and classification work

Method used

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  • Method and device for automatically restoring, measuring and classifying steel dimple images
  • Method and device for automatically restoring, measuring and classifying steel dimple images
  • Method and device for automatically restoring, measuring and classifying steel dimple images

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Embodiment 1

[0079] Use the image acquisition system to obtain the original image of steel dimples. The hardware of the image acquisition system is as follows: figure 2 Shown: 1--steel sample, 2--professional microscope, 3--camera (with image acquisition card included), 4--computer, 5--printer. The specific steps of image acquisition are to use a professional microscope to adjust the image to a suitable focal length, take a picture and store it in the image acquisition card when the image is clearest (such as image 3 shown), and then the subsequent image preprocessing can be performed.

[0080] In the preprocessing, the target image is firstly denoised by using the median filter to remove isolated noise points such as pulse noise and salt and pepper noise in the image, and to prevent blurred edges. The effect of the median filter is as follows: Figure 4 shown. In order to further process the original image into a clear image with a lot of useful information, it is also necessary to pe...

Embodiment 2

[0133] Such as Figure 12 The original image shown is the dimple image of ultra-fine grain steel. The dimples are extremely dense and small in size. It is very difficult to measure and analyze the dimples by manual mode, and it is also difficult to obtain accurate measurement classification. result. The processing process of the present invention is as follows: firstly carry out median filtering, grayscale histogram correction and adaptive fuzzy threshold binary segmentation to the target image, and the processing effect is as follows: Figure 13 As shown; and then the binary image is processed for missing boundary restoration and hole filling, and the processing effect is as follows Figure 14 As shown; after the area calibration of each dimple, measure the dimple area and find its diameter, and output the dimple measurement and classification results, as shown in Figure 15 shown.

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Abstract

The invention relates to a method and a device for automatically restoring, measuring and classifying steel dimple images. The device comprises an image acquiring system, an image pretreating part, an image restoring part, an image analyzing part, etc. The image pretreating part is used for performing median filter noise removal and gray level correction on original images acquired by the image acquiring system; the image restoring part is used for performing binary segmentation by using an adaptive fuzzy threshold valve method; boundary deletion and holes in the obtained binary images are processed respectively by using an ultra-erosion and layer-by-layer expansion method and an improved scanning line seed filling algorithm; the image analyzing part is used for performing region calibration on the processed images and setting the dimple diameter as the diameter of the minimum circumcircle of the dimple; and a random dimple region area algorithm is used to measure the dimple area so as to obtain the dimple diameter. After measurement, the measured classification results are output. The invention has the advantages of accuracy, efficiency and convenience, and can be popularized and applied in fracture measurement, analysis and classification with complex backgrounds and shapes in the material filed.

Description

technical field [0001] The invention relates to the field of fracture failure analysis of steel materials, in particular to a method and device for automatic recovery, measurement and classification of steel dimple images. Background technique [0002] In the fracture failure analysis of various steel materials, through the analysis and research on the fracture structure (dimple), the mechanism of fracture and its formation reasons can be understood, and then the way to improve the mechanical properties of the material can be found out, so as to better guide the production practice. Dimple is the most basic morphological feature of dimple fracture and the most essential basis for identifying the mechanism of dimple fracture. The size and depth of the dimples are related to the ductility of the material, while the shape of the dimples is related to the stress state at the time of failure. Quantitative analysis of the dimple size and shape of the meshing parts on the fracture...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G06T5/00G06T7/00G06T7/11G06T7/136G06T7/155G06T7/62
Inventor 李新城朱伟兴丁飞陈炜郭鑫鑫
Owner JIANGSU UNIV
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