基于机器视觉的坯布疵点实时自动检测平台
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摘要
为了克服人工检测坯布疵点过程中存在的低效率、高误检率、高漏检率等问题,设计并实现了一款能兼顾实时性和准确性要求的坯布自动检测平台.该平台包括织物传动系统、光源和成像系统、图像采集与处理系统、人机交互系统4个组成部分.在详细阐述了图像采集与处理系统的设计之后,结合AR谱算法对坯布自动检测平台进行了相关调试和试验验证,结果表明该平台已实现了预期的研发要求.
To overcome the drawbacks of fabric inspection performed by human inspectors,such as low efficiency,high false detection and high missing detection rate,an automated fabric inspection platform that can meet real-time and accurate requirements is designed and implemented.This platform is consisted of four parts:fabric drive system,illumination &imaging system,image acquisition & processing system and human-computer interaction system.After elaborating the design of image acquisition &processing system,a validation experiment is conducted to confirm the usefulness of the proposed platform with the AR spectral analysis algorithm,achieving the expected requirements.
To overcome the drawbacks of fabric inspection performed by human inspectors,such as low efficiency,high false detection and high missing detection rate,an automated fabric inspection platform that can meet real-time and accurate requirements is designed and implemented.This platform is consisted of four parts:fabric drive system,illumination &imaging system,image acquisition & processing system and human-computer interaction system.After elaborating the design of image acquisition &processing system,a validation experiment is conducted to confirm the usefulness of the proposed platform with the AR spectral analysis algorithm,achieving the expected requirements.
引文
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[6]YANG X Z,PANG G,YUNG N.Discriminative training approaches to fabric defect classification based on wavelet transform[J].Pattern Recognition,2004,37(5):889-899.
[7]BODNAROVA A,BENNAMOUN M,LATHAM S.Optimal Gabor filters for textile flaw detection[J].Pattern Recognition,2002,35(12):2973-2991.
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[11]田承泰,步红刚,汪军,等.基于时间序列分形特征的织物瑕疵检测[J].纺织学报,2010,31(5):44-54.
[12]李立轻,黄秀宝.基于织物自适应正交小波的疵点检测[J].东华大学学报:自然科学版,2001,27(4):82-87.
[13]BATLLE J,MART I J,RIDAO P,et al.A new FPGA/DSPbased parallel architecture for real-time image processing[J].Real-Time Imaging,2002,8(5):345-356.
[14]邹超.布匹疵点在线检测系统研究[D].武汉:华中科技大学控制科学与工程系,2009.
[15]田夏利,汪继军,薛胜军.嵌入式Internet中UDP协议的实现[J].计算机与数字工程,2006,34(2):104-105.
[16]步红刚.基于混合特征向量和单分类检测器的织物瑕疵自动检测研究[D].上海:东华大学纺织学院,2010.
[17]GB/T 17759—2009本色布布面疵点检测方法[S].
[2]李勇,周颖,尚会超,等.基于机器视觉的坯布自动检测技术[J].纺织学报,2007,28(8):124-128.
[3]步红刚,黄秀宝.基于计算机视觉的织物疵点检测的近期进展[J].东华大学学报:自然科学版,2006,32(3):128-133.
[4]WEN C Y,CHIU S H,HSU W S,et al.Defect segmentation of texture images with wavelet transform and a co-occurrence matrix[J].Textile Research Journal,2001,71(8):743-749.
[5]CHAN C H,PANG G K H.Fabric defect detection by Fourier analysis[J].IEEE Transaction on Industry Applications,2000,36(5):1267-1276.
[6]YANG X Z,PANG G,YUNG N.Discriminative training approaches to fabric defect classification based on wavelet transform[J].Pattern Recognition,2004,37(5):889-899.
[7]BODNAROVA A,BENNAMOUN M,LATHAM S.Optimal Gabor filters for textile flaw detection[J].Pattern Recognition,2002,35(12):2973-2991.
[8]GONG Y,HUA J,HUANG X.Fabric defect detection by using Gauss Markov random field(GMRF)model[J].Journal of China Textile University:English Edition,1999,16(3):10-13.
[9]步红刚,汪军,黄秀宝.基于AR谱分析的织物瑕疵自动检测[J].数据采集与处理,2009,24(6):783-788.
[10]步红刚,黄秀宝,汪军.基于多分形特征参数的织物瑕疵检测[J].计算机工程与应用,2007,43(36):233-237.
[11]田承泰,步红刚,汪军,等.基于时间序列分形特征的织物瑕疵检测[J].纺织学报,2010,31(5):44-54.
[12]李立轻,黄秀宝.基于织物自适应正交小波的疵点检测[J].东华大学学报:自然科学版,2001,27(4):82-87.
[13]BATLLE J,MART I J,RIDAO P,et al.A new FPGA/DSPbased parallel architecture for real-time image processing[J].Real-Time Imaging,2002,8(5):345-356.
[14]邹超.布匹疵点在线检测系统研究[D].武汉:华中科技大学控制科学与工程系,2009.
[15]田夏利,汪继军,薛胜军.嵌入式Internet中UDP协议的实现[J].计算机与数字工程,2006,34(2):104-105.
[16]步红刚.基于混合特征向量和单分类检测器的织物瑕疵自动检测研究[D].上海:东华大学纺织学院,2010.
[17]GB/T 17759—2009本色布布面疵点检测方法[S].