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基于模糊熵的碳纤维复合芯导线缺陷X射线图像增强研究
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Abstract:
碳纤维复合芯导线作为一种先进的输电线材，在承载高负载输电方面发挥着重要作用。然而其不耐弯折等原因，导致正在工作中的导线断线等危害线路安全的情况发生。本文提出针对碳纤维复合芯导线缺陷X射线图像的一种提高对比度的方法，使缺陷部位X射线图像增强。该方法先利用引导滤波对图像进行预处理，然后对图像进行平滑处理，计算出图像的模糊熵，利用局部直方图均衡化重新分配图像像素的灰度级，增强该区域的对比度，最后将计算后的模糊熵映射到[0, 1]的区间内，得到最终图像。通过与传统直方图均衡化、灰度变换和对比度限制自适应直方图均衡化(CLAHE)处理算法对比，证明本文算法具有更好的增强效果。
As an advanced power transmission wire, carbon fiber composite core wire plays an important role in carrying high load power transmission. However, it is not resistant to bending and other reasons, resulting in the breakage of the wire in the work and other hazards to the safety of the line. In this paper, a method to improve the contrast of X-ray images of defects of carbon fiber composite core wire is proposed to enhance the X-ray images of defects. Firstly, the image is preprocessed by guided filtering, then the fuzzy entropy of the image is calculated by smoothing the image, and the gray levels of the image pixels are redistributed by local histogram equalization to enhance the contrast of the region. Finally, the calculated fuzzy entropy is mapped to the interval of [0, 1] to obtain the final image. Compared with the traditional histogram equalization, gray transformation and Contrast Limited Adaptive Histogram Equalization (CLAHE) processing algorithms, the proposed algorithm has better enhancement effect.
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