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基于直方图统计的织物疵点识别算法
引用本文:高晓丁,汪成龙,左贺,梁继超.基于直方图统计的织物疵点识别算法[J].纺织学报,2005,26(2):121-123.
作者姓名:高晓丁  汪成龙  左贺  梁继超
作者单位:西安工程科技学院,陕西,西安,710048
摘    要: 提出运用织物图像的直线纹理特征 ,由概率统计生成直方图 ,有效地提取织物图像的特征波形 ,经大量检测试验证明特征波可靠稳定。基于波形特征参数对比能准确定位织物纹理结构的异常位置 ,正确识别织物疵点。为简化识别算法可引入阈值过滤 ,允许正常波形参数通过过滤 ,而记录异常波形变化 ,用过滤单一的正常纹理来识别类型复杂的织物疵点。

关 键 词:直方图  自适应  纹理识别  特征强化  阈值过滤
文章编号:0253-9721(2005)02-0121-03
收稿时间:1900-01-01;

Fabric blemish detection based on attributed relational histogram
GAO Xiao-ding,WANG Cheng-long,ZUO He,LIANG Ji-chao.Fabric blemish detection based on attributed relational histogram[J].Journal of Textile Research,2005,26(2):121-123.
Authors:GAO Xiao-ding  WANG Cheng-long  ZUO He  LIANG Ji-chao
Affiliation:Xi'an University of Engineering Science &;amp; Technology;Xi'an;Shanxi 710048;China
Abstract:Based on linear feature texture of fabric,achieved statistic histogram can abstract fabric characteristics perfectly.These feature waves show reliable and stable during numerous tests.With comparing wave features,abrupt or abnormal changes can be located precisely and fabric defects can be picked out correctly.To simplify identification,threshold filter should be introducd to overpass general wave and record abnormal status.Discrimination of various and complex defects can form a simple by filtering general unique texture.
Keywords:histogram  self-adaptive  texture identification  feature strengthening  threshold filtration
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