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An algorithm of grayscale Value compensation based on X-ray

机译:基于X射线的灰度值补偿算法

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摘要

X-rays are widely used for the detection of defects in industry, the grayscale value distribute of the image is uneven, due to scattering and other reasons, which brings inconvenience for threshold segmentation of defect detection. In this paper, a grayscale value compensation algorithm is proposed by analyzing the gray value distribution of X-ray images, which makes the gray values distribution of the X-ray image tend to be even and provides a great foundation for separating the defects quickly. The algorithm can reduce the influence of the non-uniformity of gray-scale distribution of X-ray image, it is proved by experiment on defects segmentation inside of BGA which used single threshold, and it makes the image grayscale value distribution tends to be uniform, so that facilitate the subsequent separation of defects as well.
机译:X射线广泛用于检测工业中的缺陷,由于散射和其他原因,图像的灰度值分布是不均匀的,这给缺陷检测的阈值分割带来了不便。在本文中,提出了一种通过分析X射线图像的灰度值分布来提出灰度值补偿算法,这使得X射线图像的灰度值分布趋于均匀,并且为快速分离缺陷,提供了很大的基础。该算法可以减少X射线图像的灰度分布的不均匀性的影响,通过对使用单个阈值的BGA内部的缺陷分割来证明它,使图像灰度值分布趋于均匀,因此促进随后的缺陷分离。

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