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Fast Image Classification for Grain Size Determination
With the increasing application of steel materials, the metallographic analysis of steel has gained importance. At present, grain size analysis remains the task of experts who must manually evaluate photos of the structure. Given the software currently available for this task, it is impossible to effectively determine the grain size because of the limitations of traditional algorithms. Artificial intelligence is now being applied in many fields. This paper uses the concept of deep learning todoi:10.3390/met11101547 fatcat:d2lhe6mjvnbhjlhgdih5am3zsu