Inspection of surface defects on engine cylinder wall using segmentation image processing technique

L. Han, Xiaofeng Yue, Jun Yu
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Abstract

A regression formula has been developed for dividing the surface image obtained from an engine cylinder wall. By applying the formula, segmentation error can be minimized. The error, which results from the separation of the cylinder wall image, will lead to a potential loss of precision when the surface images of the cylinder wall are processed. By using the segmental image processing method, the experimental results show that the formula is correct and the technique is reliable.
基于分割图像处理技术的发动机缸壁表面缺陷检测
提出了一种用于分割发动机缸壁表面图像的回归公式。应用该公式可以使分割误差最小化。这种误差是由于缸壁图像的分离造成的,在处理缸壁表面图像时,会导致精度的潜在损失。采用图像分段处理方法,实验结果表明公式正确,技术可靠。
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