| 一种改进的作物缺素叶片图像分割方法 |
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| 引用本文： | 姚旭国,郑可锋.一种改进的作物缺素叶片图像分割方法[J].农业网络信息,2009(12):15-17. |
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| 作者姓名： | 姚旭国 郑可锋 |
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| 作者单位： | 浙汀省农业科学院,数字农业研究中心,浙江,杭州,310021 |
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| 摘 要： | 在研究比较多种传统分割方法的基础上,针对自然光照下缺素作物的图像分割问题,提出了一种改进的方法,即在RGB颜色空间,及2g-r-b法的基础上,通过开运算和(g-r)~2分割因子,实现图像背景的有效分割.
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| 关 键 词： | 计算机视觉 营养缺素 图像处理 番茄 背景分割 |
An Improved Method of Image Segmentation for Nutrient Deficiency Diseases of Crop Leaves |
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| Yao Xuguo,Zheng Kefeng.An Improved Method of Image Segmentation for Nutrient Deficiency Diseases of Crop Leaves[J].Agriculture Network Information,2009(12):15-17. |
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| Authors: | Yao Xuguo Zheng Kefeng |
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| Institution: | Yao Xuguo,Zheng Kefeng(Center for Digital Agriculture Research,Zhejiang Academy Agricultural Sciences,Hangzhou 310021,China) |
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| Abstract: | Based on researching and contrasting several traditional methods of image segmentation in green crop,an improved image segmentation method based on the Green 2*G-R-B is proposed to solve image segmentation with nutrient deficiency diseases of crops in the natural lighting condition.It is in the RGB space and bases on 2*g-r-b method.It has realized effective segmentation of images background by using opening calculation and the(g-r) ^2 key index. |
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| Keywords: | computer vision nutrient deficiency image treatment tomato segmentation background |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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