| 基于计算机视觉技术的番茄叶部病害识别研究 |
| |
| 引用本文： | 周正,雷梦龙,唐少先.基于计算机视觉技术的番茄叶部病害识别研究[J].安徽农业科学,2013,41(5):2288-2289. |
| |
| 作者姓名： | 周正 雷梦龙 唐少先 |
| |
| 作者单位： | 湖南农业大学信息科学技术学院,湖南长沙,410128 |
| |
| 摘 要： | 针对番茄叶部病害的计算机识别问题进行深入研究,建立一套基于适用于番茄病害的颜色特征提取、纹理特征识别等模式识别方法,确定与病理对应的特征和特征组合模式,在此基础上进行了仿真研究和对比试验,结果表明,该方法能有效提高番茄叶部病害的自动识别水平。
|
| 关 键 词： | 计算机视觉 图像处理 模式识别 |
Study of Tomato Leaf Diseasa Recognition Based on Computer Vision Technology |
| |
| Institution: | ZHOU Zheng et al(School of Information Science and Technology,Hunan Agricultural University,Changsha,Hunan 410128) |
| |
| Abstract: | Based on deep research of tomato foliar diseases computer identification,a set of recognition methods for tomato disease color feature extraction,texture characteristics identification was established.The corresponding pathological characteristics and features combination model were determined,on the basis of this,the simulation research and contrast test were conducted,the results showed that the method can effectively improve the tomato leaf part disease automatic identification level. |
| |
| Keywords: | Computer vision Image processing Pattern recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
