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基于EXG因子的水稻秧苗图像分割
引用本文:迟德霞,张伟,王洋.基于EXG因子的水稻秧苗图像分割[J].安徽农业科学,2012(36):17902-17903.
作者姓名:迟德霞  张伟  王洋
作者单位:1. 辽宁石油化工大学,辽宁抚顺 113001;沈阳农业大学,辽宁沈阳 110866
2. 北方重工集团有限公司设计研究院,辽宁沈阳 110141;沈阳农业大学,辽宁沈阳 110866
3. 辽宁石油化工大学,辽宁抚顺,113001
摘    要:针对水稻稻田图像中秧苗和背景分割问题,采用基于最大类间方差法(OTSU法)的分割方法,成功地把水稻秧苗像素和背景像素分割开.首先用CCD相机获取水稻插秧机插秧作业后的水稻稻田图像,选择超绿特征因子(EXG因子)将水稻秧苗RGB彩色图像转化为灰度图像,使用OTSU法计算阈值,成功地将灰度图像转变为二值图像.又采用该方法分割了20幅水稻秧苗图像,结果表明,EXG因子可以对水稻秧苗图像有效分割.

关 键 词:图像分割  图像处理  OTSU法  水稻图像

Segmentation of Rice Seedling Image Based on EXG Factor
Institution:CHI De-xia et al(Liaoning Shihua University,Fushun,Liaoning 113001)
Abstract:For segmentation of rice seeding and background in paddy field images,a segmentation method based on OTSU was adopted,and rice seeding pixels were segmented from background pixels successfully.The images of paddy field transplanted by rice transplanter were acquired with CCD camera,EXG factor was selected to transfer rice seedling RGB color image into gray image,the threshold value was calculated with OSTU method,then the paddy images were segmented into binary image.The results showed that the method was very effective in segmentation rice seeding images.
Keywords:Image segmentation  Image processing  OTSU method  Image of rice
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