| 多尺度数学形态学在木材图像边缘检测中的应用 |
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| 引用本文： | 郭凡,于雷,戚大伟.多尺度数学形态学在木材图像边缘检测中的应用[J].林业机械与木工设备,2007,35(9):47-49. |
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| 作者姓名： | 郭凡 于雷 戚大伟 |
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| 作者单位： | 东北林业大学,黑龙江,哈尔滨,150040 |
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| 摘 要： | 提出一种基于多尺度结构元的数学形态学图像边缘检测算法.针对图像中噪声和边缘形态不同,定义了多尺度的形态学结构元素,并通过形态学运算的加权组合,构造了多尺度的边缘检测算法.在针对木材缺陷图像的仿真试验中,该方法与经典的边缘检测算子相比不仅具有很好的边缘提取能力,而且还有很强的抗噪性.
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| 关 键 词： | 数学形态学 边缘检测 多尺度形态学 木材检测 |
| 文章编号： | 1001-4462（2007）09-0047-03 |
| 修稿时间： | 2007-05-21 |
Log Image Edge Detection Method Based on Multi-Scale Mathematical Morphology |
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| GUO Fan,YU Lei,QI Da-wei.Log Image Edge Detection Method Based on Multi-Scale Mathematical Morphology[J].Forestry Machinery & Woodworking Equipment,2007,35(9):47-49. |
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| Authors: | GUO Fan YU Lei QI Da-wei |
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| Institution: | Northeast Forestry University, Heilongjiang Harbin 150040, China |
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| Abstract: | Based on mathematical morphology of multi-scale element, an algorithm of image edge-detection was proposed. Mathematical morphology of multi-scale element was defined in order to suppress noise and adapt to different edge in the image. An approach of image edge detection based on morphology of multi-scale element was constructed by weight adding combination of morphological operation. The results of simulation demonstrate of log defect image that the method performs better not only in edge detection but also in noise-suppression than classical edge detection operator. |
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| Keywords: | mathematical morphology edge detection multi-scale morphology log detection |
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