基于最大熵阈值算法的织物疵点检测与疵点织物应用
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摘要
对织物表面出现的断经、断纬、破洞、油污等疵点进行识别并在实际中应用。将熵阈值分割应用于图像处理,通过最大熵阈值分割的迭代运算,将目标区域与背景区域分割开,即将织物疵点区域与正常区域划分出来,然后进一步对图像进行特征化处理,同时将实际生活中的乞丐装样式织物进行特征化处理,经过二者之间的特征化图像比对,确定疵点织物应用于实际生产的样式,以实现对疵点织物的有效利用。
The defects such as holes, warp-lacking, weft-lacking and oil stain on the fabric surface were identified and applied in practice. The entropy threshold segmentation was applied to image processing. Also,The target region was separated from the background area through iterative operation of maximum entropy threshold segmentation. Namely, the fabric defect area was divided from the normal area, and then image was further characterized, the beggar style fabric in real life was also characterized simultaneously. By comparing the two ways above, the pattern of defect fabric used in actual production was determined. This is an effective use of defect detection and its application.
The defects such as holes, warp-lacking, weft-lacking and oil stain on the fabric surface were identified and applied in practice. The entropy threshold segmentation was applied to image processing. Also,The target region was separated from the background area through iterative operation of maximum entropy threshold segmentation. Namely, the fabric defect area was divided from the normal area, and then image was further characterized, the beggar style fabric in real life was also characterized simultaneously. By comparing the two ways above, the pattern of defect fabric used in actual production was determined. This is an effective use of defect detection and its application.
引文
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[8] 李仁忠,杨曼,俱寒,等.基于二维 Otsu 算法的织物疵点检测[J].毛纺科技,2017,45(10):75-80.
[9] 槐向兵,厉征鑫,刘建立,等.基于轮廓波变换的织物疵点图像消噪新方法[J].计算机工程与应用, 2014(19):143-146,198.
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[11] 石美红,吴敏华,吴戴明,等.基于线阵CCD的织物疵点在线检测系统的研究[J]. 微计算机应用,2009,30(3):65-70.
[12] 韩其睿,池楠.编织物疵点检测及类型识别[J].计算机工程与应用,2014(21):234-237.
[2] 唐述宏. 基于CCD技术的纱线疵点检测的研究[J].上海纺织科技,2008(8):7-8.
[3] 邢荣军.高速公路路面破损自动识别与智能评价[D].重庆:重庆交通大学,2011.
[4] 王玉涵,程凯,孙以泽.基于机器视觉的轻薄弹性裤袜破洞类疵点检测[J].毛纺科技,2017,45(8):80-84.
[5] 杨帆.数字图像处理与分析[M].北京:北京航空航天大学出版社,2010.
[6] 邢广鑫.基于机器视觉的织物疵点自动检测研究[D].天津:天津工业大学,2015.
[7] 闫磊.基于稀疏表示的织物疵点检测算法研究[D].郑州:中原工学院,2016.
[8] 李仁忠,杨曼,俱寒,等.基于二维 Otsu 算法的织物疵点检测[J].毛纺科技,2017,45(10):75-80.
[9] 槐向兵,厉征鑫,刘建立,等.基于轮廓波变换的织物疵点图像消噪新方法[J].计算机工程与应用, 2014(19):143-146,198.
[10] 李文羽,程隆棣.基于机器视觉和图像处理的织物疵点检测研究新进展[J].纺织学报,2014,35(3):158-164.
[11] 石美红,吴敏华,吴戴明,等.基于线阵CCD的织物疵点在线检测系统的研究[J]. 微计算机应用,2009,30(3):65-70.
[12] 韩其睿,池楠.编织物疵点检测及类型识别[J].计算机工程与应用,2014(21):234-237.