| 徐梅宣，张智刚，潘 慕，等.田间水稻冠层图像分割算法的研究[J].广东农业科学,2015,42(13):161-164 |
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田间水稻冠层图像分割算法的研究 |
| Research on segmentation algorithm of rice canopy image |
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| DOI： |
| 中文关键词: 田间背景 水稻 冠层分割 G-R 颜色通道 |
| 英文关键词: field background rice canopy segmentation G-R color channels |
| 基金项目: |
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| 摘要点击次数: 1449 |
| 全文下载次数: 847 |
| 中文摘要: |
| 水稻氮素状况是评价水稻长势、估测产量与品质的重要参考指标，对水稻氮素的精确诊断与高效管
理具有重要意义。用计算机图像处理技术能够精准、简便、实时无损地检测水稻的营养信息，在精准农业中得到
广泛应用。其中，水稻冠层分割的准确度和速度直接影响了模型的性能和效率。分析了3 种典型田间背景下水稻
图像的RGB 颜色通道特点，并从图像边缘、颜色、区域等方面对水稻冠层部分进行分割，提出了基于G-R 颜色
通道的最大类间方差分割方法，并与其他方法进行了时间开销和分割效果的对比。结果表明，该方法的分割成功
率达92.5%，时间开销最小。 |
| 英文摘要: |
| Rice nitrogen status is an important index for rice growth evaluation，rice yield and quality estimation. It
has important significance for the precise diagnosis of rice nitrogen status and effective management of rice production.
Computer image processing technology is able to detect rice nutrition information accurately and nondestructively on a
real time basis，which has widely applied in precision agriculture. The accuracy and speed of rice canopy segmentation
directly affects the performance of model and efficiency of nutrition information detection. The image characteristics
of RGB color channels of three typical rice canopy images in paddy field were analyzed in this research. A G-R color
channel based OSTU method was proposed to segment rice canopy images from the edge，color and region of images.
Experiments were conducted to compare the time required and segmentation effects with other methods. Results showed
that in the 40 images，the success rate of proposed segmentation method reached 92.5% with the minimum time required |
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