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基于結構譜的中厚板表面缺陷識別方法

Recognition of surface defects on medium and heavy plates based on structure spectrum

  • 摘要: 為克服傳統紋理分析的缺陷識別結果易受光照變化和氧化鐵皮不利影響的缺點,提出了結構譜紋理分析方法,并將其應用于中厚板表面麻點、夾雜、結疤等缺陷的識別.實驗結果表明,結構譜方法具有較好的光照不變性,對麻點、夾雜、結疤等缺陷的識別率要高于灰度共生矩陣、Laws紋理能量、傅里葉功率譜等其他紋理分析方法.

     

    Abstract: In surface inspection of medium and heavy plates, defects recognition based on texture analysis suffers from mutative illuminations and scales. An illumination invariant texture analysis method named structure spectrum was proposed and applied to recognition of surface defects on medium and heavy plates. Compared with other textural features such as gray level co-occurrence matrix, Laws texture energy, and Fourier power spectrum, higher classification rates were made by structure spectrum for classification of pits, scars and inclusions.

     

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