针对荧光磁粉探伤中人工观察识别工作量大、效率低、难以保证检测质量一致性及健康危害严重等问题，提出一种具备机器自主学习能力的智能图像识别方法。结合人工识别磁痕缺陷的工艺方法分析磁痕图像，基于图像形态学提取荧光磁粉缺陷多项特征建立专家知识库，同时根据人员对图像识别结果的判定情况自动修正专家知识库。实验证明该方法可有效识别车削类工件中存在的缺陷，鲁棒性较强。%An intelligent image recognition method with machine self - learning ability was proposed to o-vercome the shortcomings of heavy workload of artificial observation,low efficiency,unguaranteed consis-tency in detection quality and health hazards in fluorescent magnetic particle flaw detection. First,artifi-cial recognition magnetic image defect method was applied to analyze the magnetic mark image. Then the features of magnetic image defect were extracted based on image morphology to establish the expert knowl-edge base which is automatically corrected according to the personnel judgment of the results of image rec-ognition. The experimental results show that the proposed method can effectively recognize the defects of turning workpieces and has strong robustness.
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