Defect Rating Technology for Aluminum Casting X-ray Flaw Detection Image Based on Feature Extraction
Aiming at the problems of unstable rating results and difficulty in quantification existing in artificial defect rating technology for aluminum casting X-ray flaw detection images,a casting defect rating system based on feature extraction algorithm was designed.Firstly,the area was selected as the rating index of pores,inclusions,shrinkage holes and shrinkage by analyzing the relationship between the characteristic parameters and the defect level,and the defect rating quantitative system was established according to the national standard map.Then,the X-ray images were preprocessed,edge-detected,contoured and quantified,and rated according to the established system.Finally,an automatic defect rating system integrating the above functions was developed,which possesses an error of±1 level with the expert evaluation results after verification.In conclusion,the system can ensure the rating quality to a certain extent,which is convenient for the quality monitoring of castings.
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