应用Canny算子的织物疵点检测改进算法
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摘要
为克服当前Canny算子在织物疵点边缘检测中存在的阈值设定、滤波参数选择等自适应问题,提出一种基于Canny算子的改进算法。通过分析不同种类的织物疵点特征,选择不同参数的高斯滤波器,对织物疵点图像进行滤波处理;采用自适应形式获取图像边缘信息的阈值,避免了因阈值取值过高或过低而无法获得较好织物疵点的边缘信息的问题,同时还可根据不同织物疵点类型选择不同的滤波参数。结果表明,改进后的Canny算法可有效地检测到织物疵点的边缘细节,具有较好的自适应能力,并且提高了算法的有效性。同时对典型的织物疵点进行检测并与传统算法比较,其检测效果更优。
In order to solve the self-adaption problem that current Canny operator needs to set threshold and to choose the filtering parameters in the fabric defect edge detection,an improved algorithm based on the original Canny operator was proposed. Firstly different filter parameters were chosen according to the type of the fabric flaw,and then self-adaption was used to obtain the threshold and the parameters of the filter,which avoids the wrong choosing of threshold leading to the lack or redundant edge information,and different filter parameters were chosen according to the type of the fabric flaw. The results showed that the improved Canny algorithm can detect the edge detail of fabric defects,and has good self-adaption capability. Compared to the conventional algorithm,the improved algorithm has better detection results.
In order to solve the self-adaption problem that current Canny operator needs to set threshold and to choose the filtering parameters in the fabric defect edge detection,an improved algorithm based on the original Canny operator was proposed. Firstly different filter parameters were chosen according to the type of the fabric flaw,and then self-adaption was used to obtain the threshold and the parameters of the filter,which avoids the wrong choosing of threshold leading to the lack or redundant edge information,and different filter parameters were chosen according to the type of the fabric flaw. The results showed that the improved Canny algorithm can detect the edge detail of fabric defects,and has good self-adaption capability. Compared to the conventional algorithm,the improved algorithm has better detection results.
引文
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[10]段红燕,邵豪,张淑珍,等.一种基于Canny算子的图像边缘检测改进算法[J].上海交通大学学报,2016,50(12):1862-1863.DUAN Hongyan,SHAO Hao,ZHANG Shuzhen,et al.An improved algorithm for image edge detection based on Canny operator[J]. Journal of Shanghai Jiao Tong University,2016,50(12):1862-1863.
[11] JOHN CANNY. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679-697.
[12]景晓军,李剑峰,熊玉庆.静止图像的一种自适应平滑滤波算法[J].通信学报,2002,23(10):8-12.JING Xiaojun, LI Jianfeng, XIONG Yuqing. An adaptive smooth filter algorithms of still images[J].Journal of China Institute of Communication, 2002,23(10):8-1.
[13]薛丽霞,李涛,王佐成.一种自适应的Canny边缘检测算法[J].计算机应用研究,2010,27(9):3588-3589.XUE Lixia,LI Tao,WANG Zuocheng. Adaptive Canny edge detection algorithm[J]. Application Research of Computers,2010,27(9):3588-3589.
[2]毛兆华,汪军,周建,等.应用非负字典学习的机织物瑕疵检测算法[J].纺织学报,2016,37(3):144-145.MAO Zhaohua,WANG Jun,ZHOU Jian,et al. Woven fabric defect detection base on non-negative dictionary learing[J]. Journal of Textile Research,2016,37(3):144-145.
[3]王刚,周建,汪军,等.采用奇异值分解的机织物瑕疵检测算法[J].纺织学报,2014,35(7):61-62.WANG Gang,ZHOU Jian,WANG Jun,et al. Woven fabric defect detection using singular value decomposition[J]. Journal of Textile Research,2014,35(7):61-62.
[4] CAMPBELL J G,FRALEY C,MURTAGH F,et al.Linear flaw detection in woven textiles using model based clustering[J]. Pattern Recognition Letters, 1997,18(14):1539-1548.
[5] SHI M H,FU R,GUO Y,et al. Fabric defect detection using local contrast deviations[J]. Multimedia Tools and Applications,2011,52(1):147-157.
[6] KUMAR A,PANG G K H. Defect detection in textured materials using Gabor filters[J]. IEEE Transactions on Industry Applications,2002,38(2):425-440.
[7] MIRMEHDI Majid, XIE Xianghua, SURI Jasjit.Handbook of Textile Analysis[M]. London:Imperial College Press,2008:101-150.
[8] HEALTH M, SARKAR S, SANOCKI T, et al.Comparison of edge detectors:a methodology and initial study[J]. Computer Vision and Image Understanding,1998,69(1):38-54.
[9]许宏科,秦严严,陈会茹.一种基于改进Canny的边缘检测算法[J].红外技术,2014,36(3):211-212.XU Hongke,QIN Yanyan,CHEN Huiru. An improve algorithm for edge detection based on canny[J].Infrared Technology,2014,36(3):211-212.
[10]段红燕,邵豪,张淑珍,等.一种基于Canny算子的图像边缘检测改进算法[J].上海交通大学学报,2016,50(12):1862-1863.DUAN Hongyan,SHAO Hao,ZHANG Shuzhen,et al.An improved algorithm for image edge detection based on Canny operator[J]. Journal of Shanghai Jiao Tong University,2016,50(12):1862-1863.
[11] JOHN CANNY. A computational approach to edge detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1986,8(6):679-697.
[12]景晓军,李剑峰,熊玉庆.静止图像的一种自适应平滑滤波算法[J].通信学报,2002,23(10):8-12.JING Xiaojun, LI Jianfeng, XIONG Yuqing. An adaptive smooth filter algorithms of still images[J].Journal of China Institute of Communication, 2002,23(10):8-1.
[13]薛丽霞,李涛,王佐成.一种自适应的Canny边缘检测算法[J].计算机应用研究,2010,27(9):3588-3589.XUE Lixia,LI Tao,WANG Zuocheng. Adaptive Canny edge detection algorithm[J]. Application Research of Computers,2010,27(9):3588-3589.