暗通道图像增强技术在数字射线检测中的应用

APPLICATION OF DARK CHANNEL IMAGE ENHANCEMENT TECHNOLOGY IN DIGITAL RADIOGRAPHIC DETECTION

参考暗通道去雾图像增强技术,结合CFRP模压件DR数字射线图像特征,分析不同滤波半径和去雾系数下的图像增强效果,得到合理的图像增强参数,并将其成功地应用于该产品的DR数字成像检测中。结果显示,该方法能够有效降低DR图像中因工件厚度差异造成的对比度变化,减少了工件中的背景噪声,突出了工件中的缺陷信息,使得增强后的图像具有较好的视觉效果,并且针对不同类型的缺陷基本上能够统一评片窗口。减少了传统DR图像评片时需要调节窗口的次数,有效地提高了评片人员的工作效率和评片准确性,在实际工程应用中具有非常大的参考价值和指导意义。

This paper refers to the dark channel dehazing image enhancement technology.Combining the characteristics of CFRP molded parts DR digital ray image,and analyzing the image enhancement effects under different filter radius and defogging coefficient,and obtaining reasonable image enhancement parameters,the product is successfully applied to the DR digital imaging detection.The results show that the method can effectively reduce the contrast change caused by the thickness difference of the workpiece in the DR image,reduce the background noise in the workpiece,and highlight the defect information in the workpiece,so that the enhanced image has better visual effect.This makes it possible to basically unify the evaluation window for different types of defects.It reduces the number of times that the traditional DR image evaluation needs to adjust the window,effectively improves the work efficiency and the accuracy of the film reviewer,and has great reference value and guiding significance in practical engineering applications.