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| 一种矿井巷道图像边缘检测算法 | |
| 引用本文： | 赵谦,王奕婷,曾召华,侯媛彬,赵肃. 一种矿井巷道图像边缘检测算法[J]. 工矿自动化, 2013, 39(2): 71-75 |
| 作者姓名： | 赵谦 王奕婷 曾召华 侯媛彬 赵肃 |
| 作者单位： | 1. 西安科技大学通信与信息工程学院,陕西西安,710054 2. 西安科技大学电气与控制工程学院,陕西西安,710054 3. 西安市市政设施管理局,陕西西安,710054 |
| 基金项目： | 陕西省科技研究发展计划工业攻关项目(2011K09-46,2012K06-49);西安市科技计划项目(CXY1119,CX1258⑤,CX1258⑥);陕西省教育厅科研计划项目(12JK0508,12JK0535);西安市碑林区应用技术研发项目(GX1209) |
| 摘 要： | 针对传统的Canny算法在处理模糊的矿井巷道图像时存在边缘提取效果较差的问题,提出了一种基于小波变换和Canny算法的矿井巷道图像边缘检测算法。该算法首先对矿井巷道原始图像做小波分解,获得低频图像和高频图像,从而避免模糊图像对边缘检测效果的影响;然后采用Canny算法计算低频图像和高频图像的一阶差分,获得低频图像和高频图像的梯度图,通过计算局部梯度最大值,获得高频图像和低频图像的边缘图;当高频图像的边缘图上出现间断点时,在低频图像的边缘图中检测该点的8点邻域,寻找连接点,即可得到完整的矿井巷道边缘检测图。实验结果表明,与传统的Canny算法相比,该算法能够检测到较多的图像边缘点,具有较好的边缘连接效果。 |
| 关 键 词： | 矿井巷道图像 模糊图像 边缘检测 小波变换 Canny算法 低频图像 高频图像 |
An edge detection algorithm for mine roadway image |
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| ZHAO Qian,WANG Yi-ting,ZENG Zhao-hua,HOU Yuan-bin,ZHAO Su. An edge detection algorithm for mine roadway image[J]. Industry and Automation, 2013, 39(2): 71-75 | |
| Authors: | ZHAO Qian WANG Yi-ting ZENG Zhao-hua HOU Yuan-bin ZHAO Su |
| Affiliation: | 1.School of Communication and Information Engineering,Xi’an University of Science and Technology, Xi’an 710054,China;2.School of Electrical and Control Engineering,Xi’an University of Science and Technology,Xi’an 710054,China; 3.Xi’an Municipal Facilities Administration Bureau,Xi’an 710054,China) |
| Abstract: | In view of problem of bad edge extraction effect when traditional Canny algorithm processes fuzzy mine roadway image,the paper proposed an edge detection algorithm for mine roadway image based on wavelet transform and Canny algorithm.The algorithm firstly makes wavelet decomposition for original mine roadway image to obtain low-frequency image and high-frequency image,so as to avoid influence of fuzzy image on edge detection effect.Then it uses Canny algorithm to calculate first order differences of low-frequency image and high-frequency image to obtain gradient images of low-frequency image and high-frequency image and obtains edge images of low-frequency image and high-frequency image through calculating the maximum value of local gradient.When edge image of high-frequency image has discontinuity point,it detects eight-point neighborhood of the point in edge image of low-frequency image to find connection point to obtain complete edge detection image of mine roadway.The experiment result showed that the algorithm can detect more edge points of image with better edge connection effect comparing with traditional Canny algorithm. |
| Keywords: | mine roadway image fuzzy image edge detection wavelet transform Canny algorithm low-frequency image high-frequency image |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |