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基于颜色分量与直方图的玉米苗期背景分割方法研究
引用本文:周果,司秀丽.基于颜色分量与直方图的玉米苗期背景分割方法研究[J].计算机与农业,2012(8):22-24.
作者姓名:周果  司秀丽
作者单位:吉林农业大学,吉林长春130118
摘    要:对土壤背景进行有效分割是玉米苗期田间杂草识别的前提和基础。本研究利用颜色分量G-R和G-B与灰度直方图来实现玉米苗期图像与背景图像的分割,解决了玉米苗期田间杂草识别中受影响及环境适应性差等问题。通过对不同环境下苗期玉米图像的植被颜色和背景颜色分量的统计分析表明,采用G-R和G-B双阈值颜色特征分割,进行土壤背景分离取得了很好的效果。

关 键 词:玉米图像  颜色特征  双阈值  图像分割

Research of Maize Seedling Stage Background Segmentation Method Based on Color Components and Histogram
ZHOU Guo,SI Xiuli.Research of Maize Seedling Stage Background Segmentation Method Based on Color Components and Histogram[J].Computer and Agriculture,2012(8):22-24.
Authors:ZHOU Guo  SI Xiuli
Institution:(Jilin Agricultural University Jilin Changchun 130118)
Abstract:Soil background segmentation is the premise and basics of weed identification at maize seedling stage.In this paper,using color components G-R,G-B and histogram,corn seedling image and background image segmentation were realized to solve the problem of affects and environment adaptability on weed identification at maize seeding stage.Statistics analysis of vegetation color and background color of maize seedling image under different environments,by using G-R and G-B double threshold segmentation of the color characteristics,it showed good effect.
Keywords:maize image  color characteristics  dual threshold  image segmentation
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