摘要
通过对光照不均匀的米粒灰度图像进行最佳阈值分割和特征提取,获得对米粒数目的自动检测方法。该方法具有较强的光照分布不均和面积大小适应性。经仿真试验,检测结果可以达到97%以上。同时,相较于同类算法,该方法算法简单,运行时间较短。
By conducting the optimal threshold segmentation and feature extraction on the gray image of rice with uneven distribution of light,an automatic detecting method for rice number was obtained.The method was very good at detecting the object with uneven distribution of light and size.According to the simulation results,the rate of the detected rice number in total could reach above 97%.Compared with similar algorithms,the proposed method was simpler and took less running time.
出处
《安徽农业科学》
CAS
北大核心
2011年第11期6871-6873,共3页
Journal of Anhui Agricultural Sciences
关键词
最佳阈值分割
特征提取
米粒
轮廓提取
Optimal threshold segmentation
Feature extraction
Rice
Contour extraction
