@article{_ar_2012,
	title = {{基于AR模型的机织物线状疵点研究}},
	volume = {33},
	issn = {0253-9721},
	url = {https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFD2012&filename=FZXB201208011&v=},
	doi = {10.13475/j.fzxb.2012.08.019},
	abstract = {针对机织物线状疵点检测效果不佳的问题,采用AR模型的谱估计方法对此问题进行研究。首先将获取织物的图像按照一定的子窗口大小分割,并将子窗口内图像的灰度值按照纵向、横向2个方向分别使用方差的方式投影,得到方差序列;然后选择合适的AR模型阶数,依据Burg算法估计得到谱数据;最后通过求得带有疵点图像的谱估计与正常纹理图像得到的谱估计之间的相关系数检测出疵点及其位置。实验验证表明这种方法对机织物线状疵点的检测是有效的。},
	language = {zh},
	number = {8},
	urldate = {2024-03-19},
	journal = {纺织学报},
	author = {{朱俊岭} and {汪军} and {张孝南} and {李立轻} and {陈霞} and {庞明军}},
	year = {2012},
	keywords = {/unread, AR 模型, Burg 算法, 机织物, 疵点检测, 线状疵点},
	pages = {50--54},
}

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