| 小波系数过零点的屋脊边缘亚像素检测算法 |
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| 引用本文： | 丁兴号,邓善熙,李了了. 小波系数过零点的屋脊边缘亚像素检测算法[J]. 哈尔滨工业大学学报, 2009, 0(9): 204-206 |
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| 作者姓名： | 丁兴号 邓善熙 李了了 |
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| 作者单位： | 厦门大学,通信工程系,福建,厦门,361005;合肥工业大学,仪器仪表学院,合肥,230009;内江师范学院,计算机与信息科学学院,四川,内江,641112 |
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| 基金项目： | 国家自然科学基金资助项目(30900328);福建省自然科学基金资助项目(2008J0032);厦门大学985二期信息创新平台资助项目(0000-X07204);厦门市科技计划高校创新项目(3502Z20083006) |
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| 摘 要： | 针对现有亚像素边缘检测算法在定位精度、抗噪性能和计算速度方面问题,提出一种新的基于小波变换系数过零点的屋脊边缘亚像素检测算法,证明了利用该方法对屋脊边缘进行亚像素检测不存在原理误差,且具有较好的抗噪性能和较快的计算速度.仿真实验证实理论的正确性.
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| 关 键 词： | 小波变换 屋脊边缘 亚像素 边缘检测 |
Sub-pixel roof edge detection based on zero-cross point of wavelet coefficient |
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| DING Xing-hao,DENG Shan-xi,LI Liao-liao. Sub-pixel roof edge detection based on zero-cross point of wavelet coefficient[J]. Journal of Harbin Institute of Technology, 2009, 0(9): 204-206 |
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| Authors: | DING Xing-hao DENG Shan-xi LI Liao-liao |
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| Affiliation: | 1.Dept.of Communication Engineering,Xiamen University,Xiamen 361005,China;2.School of Instrumentation,Hefei University of Technology,Hefei 230009,China;3.Dept.of Computer and Information Science,Neijiang Normal University,Neijiang 641112,China) |
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| Abstract: | In the traditional algorithm for sub-pixel edge detection,the model of edges on the object images is supposed as a step edge.However,edges of many industrial objects inspected are some kinds of roof edge.To improve the edge location accuracy,anti-noise capability and computation speed of the traditional algorithm,a new algorithm for sub-pixel roof edge detection is presented based on the zero-cross point of wavelet coefficient.It is proved theoretically that the sub-pixel edge detection performed with this algorithm has no principle error,and exhibits better anti-noise capability and higher computation speed.The validity of the presented algorithm is proved by simulation. |
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| Keywords: | wavelet transform roof edge sub-pixel edge detection |
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