Method for automatically identifying and grading central segregation defect of low-magnification structure of continuous casting billet

Abstract

The invention provides a method for automatically identifying and grading the central segregation defect of the low-magnification structure of a continuous casting billet. The method comprises the following steps: S1, preprocessing the gray image of a low-magnification structure of a continuous casting billet, including distortion correction, cutting white background and filtering; S2: obtaining acentral area image by segmenting the gray image for the central area where the area of the horizontal direction (2/5-3/5) and the area of the vertical direction (2/5-3/5) of the gray image; S3, detecting and labeling the connected region in the binary image corresponding to the central region image to separate the suspected central segregation region from the crack region in the connected region;S4, carrying out feature extraction on that suspected central segregation region, identifying the central segregation region and removing the interference region; S5: training the BP neural network classifier model to identify the center segregation region and grade the same. The technical proposal of the invention solves the problem that the traditional digital image processing method is not suitable for the defect detection of the continuous casting billet whose surface defects are jumbled and liable to cross.

Description

technical field [0001] The invention relates to the technical field of continuous casting slab defect detection, in particular to an automatic identification and rating method for continuous casting slab low-magnification structure center segregation defects. Background technique [0002] In the process of steel production, it is necessary to track and monitor the internal quality information of the produced slab. The detection method of the internal quality of the slab is to observe the low-magnification sample after the acid etching of the continuous casting slab to determine the type and level of surface defects. At present, the method of inspection and rating of low-magnification defects of cast slabs still adopts the manual rating mode, that is, the pictures of low-magnification samples of cast slabs are compared with the national standard YB / T 4002-2013 "Continuous Casting Billet Low-magnification Structural Defects Grading Chart" for visual inspection or manual measur...

AI Technical Summary

Problems solved by technology

At present, the detection and rating of central segregation of low-magnification defects in continuous casting slabs generally adopts visual inspection, because there are multiple textures on the continuous casting slab, and the area of ​​central segregation itself is not large compared with the continuous casting slab surface At the same time, there are also factors such as cracks, oil stains, shrinkage cavities and other interference

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