结合改进Hough变换的在线工件直线特征提取研究
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摘要
为提高轴类零件在线非接触检测的可靠性和实时性,通过对现有图像处理算法的分析,在对现有方法应用的同时,虽其中的部分算法进行了改进,提出了一种基于改进Canny算子与改进Hough变换相结合的直线特征提取算法。通过对获得的零件轴图像预处理,增强图像信息;用改进的算法对图像进行边缘直线的特征提取。通过实验表明,改进的算法自适应能力较强,能够有效抑制噪声,并可以快速准确地提取零件轴的边缘信息,能够满足工件在线检测的要求。
In order to improve the reliability and efficiently of non-contact on-line detect of axis parts,it experiments with some new methods when carrying out the application of the image processing methods.A method based on improved Canny and improved Hough transform is proposed. The image is pre-processed to maintain the detail information. Then using the improved algorithm to extract straight lines from the pre-processed image.The results of experiment shows that the presented algorithm has good adaptive ability,and it also can suppress noise effectively,while rapidly and accurately extract the edge information of axis parts.Above all,the presented algorithm can satisfy the request of on-line detect of axis parts.
In order to improve the reliability and efficiently of non-contact on-line detect of axis parts,it experiments with some new methods when carrying out the application of the image processing methods.A method based on improved Canny and improved Hough transform is proposed. The image is pre-processed to maintain the detail information. Then using the improved algorithm to extract straight lines from the pre-processed image.The results of experiment shows that the presented algorithm has good adaptive ability,and it also can suppress noise effectively,while rapidly and accurately extract the edge information of axis parts.Above all,the presented algorithm can satisfy the request of on-line detect of axis parts.
引文
[1]吉玲,杨亚,付珊珊.一种改进的Canny边缘检测算法[J].微处理机,2015(1):40-43.(Ji Ling,Yang Ya,Fu Shan-shan.An improved canny edge detection algorithm[J].Microprocessors,2015(1):40-43.)
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[3]曾文静,张铁栋,万磊.基于Hough变换的水下管道检测方法[J].仪器仪表学报,2012,33(1):76-83.(Zeng Weng-jing,Zhang Tie-dong,Wan Lei.Underwater pipeline detection based on Hough transformation[J].Chinese Journal of Scientifie Instrument,2012,33(1):76-83.)
[4]王晓凯,李锋.改进的自适应中值滤波[J].计算机工程与应用,2010,46(3):175-176.(Wang Xiao-kai,Li Feng.Improved adaptive median filtering[J].Computer Engineering and Apllications,2010,46(3):175-176.)
[5]李俊山,马颖,赵力舟.改进的Canny图像边缘检测算法[J].光子学报,2011(S1):50-54.(Li Jun-shan,Ma Ying,Zhao Li-sha.A novel arithmetic of image edge detection of canny operator[J].Acta Photonica Sinica,2011(S1):50-54.)
[6]王植,贺赛先.一种基于Canny理论的自适应边缘检测方法[J].中国图象图形学报,2004,9(8):957-962.(Wang Zhi,He Sai-xian.An adaptive edge-detection method based on canny algorithm[J].Journal of Image and Graphics,2004,9(8):957-962)
[7]张帆,彭中伟,蒙水金.基于自适应阈值的改进Canny边缘检测方法[J].计算机应用,2012,32(8):2296-2298.(Zhang Fan,Peng Zhong-wei,Meng Shui-jin.Improved canny edge detection method based on self-adaptive threshold[J].Journal of Computer Application,2012,32(8):2296-2298.)
[8]宋晓宇,袁帅,郭寒冰.基于自适应阈值区间的广义Hough变换图形识别算法[J].仪器仪表学报,2014,35(5):1109-1117.(Song Xiao-yu,Yuan Shuai,Guo Han-bing.Pattern identification algorithm with adaptive threshold interval based extended hough transform[J].Chinese Journal of Scientific Instrument,2014,35(5):1109-1117.)
[9]徐志军,陈建政.基于图像处理和Hough变换的轮对踏面轮廓检测方法[J].电子测量技术,2017(6):117-121.(Xu Zhi-jun,Chen Jian-zheng,Tread profile of wheel detection method based image processing and Hough transform[J].Electronic Measurement Technology,2017(6):117-121.)
[10]Galambos C,Kittler J,Matas J.Gradient based progressive probabilistic hough transform[J].Image Signal Processing,2001,148(3):158-165.
[11]Wei Bao-guo.Improved adaptive median filtering[J].Computer Application,2008,28(7):1732-1734.
[2]段汝娇,赵伟.一种基于改进Hough变换的直线快速检测算法[J].仪器仪表学报,2010,31(12):2774-2780.(Duan Ru-jiao,Zhao Wei.Fast line detection algorithm based on improved Hough transformation[J].Chinese Journal of Scientifie Instrument,2010,31(12):2774-2780.)
[3]曾文静,张铁栋,万磊.基于Hough变换的水下管道检测方法[J].仪器仪表学报,2012,33(1):76-83.(Zeng Weng-jing,Zhang Tie-dong,Wan Lei.Underwater pipeline detection based on Hough transformation[J].Chinese Journal of Scientifie Instrument,2012,33(1):76-83.)
[4]王晓凯,李锋.改进的自适应中值滤波[J].计算机工程与应用,2010,46(3):175-176.(Wang Xiao-kai,Li Feng.Improved adaptive median filtering[J].Computer Engineering and Apllications,2010,46(3):175-176.)
[5]李俊山,马颖,赵力舟.改进的Canny图像边缘检测算法[J].光子学报,2011(S1):50-54.(Li Jun-shan,Ma Ying,Zhao Li-sha.A novel arithmetic of image edge detection of canny operator[J].Acta Photonica Sinica,2011(S1):50-54.)
[6]王植,贺赛先.一种基于Canny理论的自适应边缘检测方法[J].中国图象图形学报,2004,9(8):957-962.(Wang Zhi,He Sai-xian.An adaptive edge-detection method based on canny algorithm[J].Journal of Image and Graphics,2004,9(8):957-962)
[7]张帆,彭中伟,蒙水金.基于自适应阈值的改进Canny边缘检测方法[J].计算机应用,2012,32(8):2296-2298.(Zhang Fan,Peng Zhong-wei,Meng Shui-jin.Improved canny edge detection method based on self-adaptive threshold[J].Journal of Computer Application,2012,32(8):2296-2298.)
[8]宋晓宇,袁帅,郭寒冰.基于自适应阈值区间的广义Hough变换图形识别算法[J].仪器仪表学报,2014,35(5):1109-1117.(Song Xiao-yu,Yuan Shuai,Guo Han-bing.Pattern identification algorithm with adaptive threshold interval based extended hough transform[J].Chinese Journal of Scientific Instrument,2014,35(5):1109-1117.)
[9]徐志军,陈建政.基于图像处理和Hough变换的轮对踏面轮廓检测方法[J].电子测量技术,2017(6):117-121.(Xu Zhi-jun,Chen Jian-zheng,Tread profile of wheel detection method based image processing and Hough transform[J].Electronic Measurement Technology,2017(6):117-121.)
[10]Galambos C,Kittler J,Matas J.Gradient based progressive probabilistic hough transform[J].Image Signal Processing,2001,148(3):158-165.
[11]Wei Bao-guo.Improved adaptive median filtering[J].Computer Application,2008,28(7):1732-1734.