一种塑料瓶外形缺陷检测方法
本申请涉及视觉检测技术领域,具体涉及一种塑料瓶外形缺陷检测方法,该方法包括:获取生产的塑料瓶表面图像的灰度图像和亮度图像;确定灰度图像中每个区块的缺陷影响指标;确定亮度图像中每个区块的光照影响指标;自适应设定表面图像中各区块采用CLAHE算法的剪切阈值,并对表面图像进行增强;利用经U‑Net算法预训练的模型对增强后的图像进行缺陷检测。本申请旨在提高对塑料瓶图像中缩痕缺陷的细节与对比度的增强效果,提高后续塑料瓶外形缺陷检测的精准度。
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