| 基于数字图像处理技术的赤星病烟叶图像判别 |
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| 引用本文： | 滕娟,李建锋,陈留洋,杨举.基于数字图像处理技术的赤星病烟叶图像判别[J].吉首大学学报(自然科学版),2017,38(2):52-57. |
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| 作者姓名： | 滕娟 李建锋 陈留洋 杨举 |
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| 作者单位： | （1.吉首大学数学与统计学院，湖南 吉首 416000；2.凤凰县阿拉镇黄合学区，湖南 凤凰 416200） |
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| 基金项目： | 国家自然科学基金资助项目(61262032，61562029)；湖南省自然科学基金资助项目(2015JJ3100)；吉首大学校级科研课题资助项目(15JDY037) |
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| 摘 要： | 为了实现赤星病烟叶的智能化识别，帮助烟农及时采收烟叶，从而有效提高烟叶的产量与质量，采用图像处理技术研究3类新鲜赤星病烟叶图像.对3类赤星病烟叶图像作灰度共生矩阵分析，采用Roberts，Sobel，Canny，LoG算子的边缘检测方法，分割3类赤星病烟叶图像的赤星病纹理区域.对LoG算子检测方法进行简单改进，使得提取的区域效果清晰、噪声点少.
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| 关 键 词： | 赤星病烟叶 灰度共生矩阵 边缘检测 纹理区域 |
Distinguish of Tobacco Leaf Image Through Digital Image Processing Technology |
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| TENG Juan,LI Jianfeng,CHEN Liuyang,YANG Ju.Distinguish of Tobacco Leaf Image Through Digital Image Processing Technology[J].Journal of Jishou University(Natural Science Edition),2017,38(2):52-57. |
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| Authors: | TENG Juan LI Jianfeng CHEN Liuyang YANG Ju |
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| Institution: | (1.College of Mathematics and Statistics,Jishou University,Jishou 416000,Hunan China；2.School of Huanghe,Ala Town,Fenghuang 416200,Hunan China) |
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| Abstract: | To realize intelligent identification of tobacco with red star disease and timely harvesting,and thus improve the yield and quality of tobacco,image processing technology is employed to study the fresh tobacco with three types red star diseases.The tobacco leaf image is analyzed in terms of the gray level co-occurrence matrix.The edge detection methods of Roberts,Sobel,Canny,and LoG operator are applied to segment the red star disease texture regions of the tobacco images.The detection method based on LoG operator is improved to obtain clear regional image with less noise points. |
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| Keywords: | red star disease tobacco gray level co-occurrence matrix edge detection texture region |
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