Method and system for identifying metal solidification area with texture

Abstract

The invention discloses a method for identifying a metal solidification area with a texture. The method is characterized by comprising the following steps of: Step 100, correcting and segmenting a metal low-magnification sample image; Step 200, adopting a local self-adaptive threshold binaryzation processing algorithm based on grayscale mean square difference to extract binarization features of the texture in the sample image; Step 300, describing the direction characteristics of the texture by adopting a dot matrix type direction measurement algorithm, and carrying out direction filtering onthe texture features by adopting a direction filtering algorithm based on the levelness; Step 400, dividing the solidification area according to the texture direction information. According to the invention, a digital image processing technology is used to perform preprocessing, feature extraction, pattern recognition and the like on a solidification area image of a casting blank macrostructure soas to realize automatic recognition and quantization and improve the detection precision. Meanwhile, the labor intensity is reduced and the production efficiency is improved.

Description

Technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and system for identifying a textured metal solidification area. Background technique [0002] The internal quality of continuous casting billets directly affects the quality and performance of subsequent products. During the production process, a variety of factors (such as non-metallic impurities, gas, improper temperature control, process defects or operator errors, etc.) in the molten steel will cause low-magnification defects in the continuous casting slab and affect the solidification structure of the continuous casting slab Structure. The structure of the solidification structure of the continuous casting slab mainly reflects the crystal morphology of the casting slab, and the difference in the crystallization status will cause the corresponding change in the structure of the solidification structure. By identifying the defects and areas of the solidificati...

AI Technical Summary

Problems solved by technology

The current macro-inspection method is to manually divide and analyze the condensation area of ​​the low-magnification structure of the slab based on personal experience. The manual inspection method has low reliability, large errors, lagging results, lack of database support, and each quality inspector. The level of experience is uneven, and the judging criteria are different, so subjective factors will affect the test results

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