刘纪;张团善;徐杰;

• 1:西安工程大学机电工程学院
• 2:中国科学院广州先进技术研究所

摘要(Abstract)：

印花织物生产过程中由于制造的原因会产生皱印、劈裂和色点等表面缺陷。为了保证织物品质,针对喷头堵墨在织物表面形成的色点,提出了一种检测点状缺陷的方法。首先去除图像上的噪声点,将缺陷图像进行滤波预处理,处理后的图像经霍夫变换(Hough Transform)提取缺陷信息并返回缺陷位置。为了检测提出算法的稳定性和准确性,应用生成对抗网络(GAN, Generative Adversarial Networks)扩充在纺织企业收集到的数据样本,与人工检测结果比较,统计缺陷检出率。结果表明:所提出的算法在生成样本及原始样本检出率为97.2%,满足纺织企业生产的要求。

关键词(KeyWords)： 数码印花;生成对抗网络;霍夫变换;缺陷检测

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金青年项目(61701384)

作者(Author): 刘纪;张团善;徐杰;

Email:

DOI: 10.19333/j.mfkj.20200403805

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