| 基于改进Sobel算法的叶片图像边缘检测 |
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| 引用本文： | 张辉,马明建.基于改进Sobel算法的叶片图像边缘检测[J].农机化研究,2012,34(5):46-48. |
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| 作者姓名： | 张辉 马明建 |
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| 作者单位： | 山东理工大学农业工程与食品科学学院,山东淄博,255049 |
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| 基金项目： | 山东省自然科学基金项目 |
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| 摘 要： | 采用数字图像处理技术对叶片图像进行边缘检测,主要研究了基于Sobel算子的叶片边缘的检测方法。在对图像进行灰度化和滤波去噪等预处理的基础上,增加了6个方向模板对Sobel算子进行改进。试验证明,该方法有效解决了Sobel算子边缘检测时边缘过粗的问题,得到的边缘较细,精确度提高了13.6%。
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| 关 键 词： | 边缘检测 叶片 Sobel算子 |
An Blade Edge-Detection Method Based Improved Sobel Operator |
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| Zhang Hui
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Ma Mingjian.An Blade Edge-Detection Method Based Improved Sobel Operator[J].Journal of Agricultural Mechanization Research,2012,34(5):46-48. |
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| Authors: | Zhang Hui Ma Mingjian |
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| Institution: | (School of Agricultural and Food Engineering,Shandong University of Technology,Zibo 255049,China) |
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| Abstract: | This paper used the digital image processing technology to conduct the division of the leaf blade image,an edge-detection method based on Sobel operator has been given.After gray converting and noise removal of the image,the improved Sobel algorithm has other six orientation templates.The experiment proves that this method can solve the thick-edge problem in Sobel edge-detection;it is useful to increase the exact position of blade’ s edge of 13.6%. |
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| Keywords: | edge-detection blade Sobel operator |
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