基于带通滤波和绿色因子的绿色识别方法

  • 杨敬伟 ,
  • 杨文柱
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  • 1.河北大学科学技术处,河北保定,071002; 2.河北大学计算机科学与技术学院,河北保定,071002

网络出版日期: 2015-05-25

基金资助

国家国际科技合作专项项目

Greenness identification based on band-pass filtering and excess green index

  • YANG Jingwei ,
  • YANG Wenzhu
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Online published: 2015-05-25

摘要

为识别大田作物长势监控图像中的绿色植物,提出了一种基于带通滤波和绿色因子的绿色植物识别方法.首先将自然光条件下采集的大田作物长势监控图像从RGB颜色空间转换到HSV颜色空间,并通过基于HSV的带通滤波器去掉RGB图像中的大部分背景;然后将处理过的RGB图像进行归一化,并利用ExG实现绿色植物的识别.实验结果表明,本方法能够正确识别大田作物长势监控图像中的绿色植物,能够较好地克服野外大田拍摄环境造成的识别难题.

本文引用格式

杨敬伟 , 杨文柱 . 基于带通滤波和绿色因子的绿色识别方法[J]. 河北大学学报(自然科学版), 2015 , 35(3) : 305 -310,329 . DOI: 10.3969/j.issn.1000-1565.2015.03.013

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