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1)  image of pests in stored grain
粮虫图像
1.
The computation results show that this method may not only keep the characteristics of the image edge,but also obtain the clearer image of pests in stored grain to pick up the image characteristics of pest in stored grain effectively.
计算表明,将二维小波变换应用于储粮害虫的图像去噪和边缘检测,不仅可以保留图像的边缘特征,视觉效果好,还可以得到较清晰的粮虫特征图像,为粮虫图像特征提取打下了良好的基础。
2.
Based on wavelet transformation,the image of pests in stored grain based on machine vision is decomposed in various scales.
运用Matlab语言对二维图像信号进行多尺度多分辨率分析,并很好地应用于粮虫图像轮廓的提取。
2)  stored-grain pest image
储粮害虫图像
3)  insect image
昆虫图像
1.
Generally, a digital image may consist of several different objects, and the research interest for an insect image is the insect region in the image.
以棉铃虫为例 ,利用数字图像技术对昆虫图像的分割技术进行了研究。
2.
Insect image processing and analysis technology and methods including image acquisition, image enhancement , image segmentation and feature extraction and measurement were introduced.
本文以棉铃虫图像为例介绍了昆虫图像的处理与分析技术的应用。
4)  bulk food warehouse image
散装仓粮食图像
5)  Plant diseases and insect pests image
病虫害图像
6)  grain insect
粮虫
1.
Based on analyzing the pictures,this research uses iterative threshold method to obtain the threshold of grain insect in order to solve the problem how to obtain the optimal threshold in online detecting and controlling system of grain storage in this paper.
提出了一种迭代法与连通域相结合的粮虫分割算法,以实现机器视觉在线检测储粮粮虫系统中储粮图像粮虫的分割。
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
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