摘要
在研究比较多种传统分割方法的基础上,针对自然光照下缺素作物的图像分割问题,提出了一种改进的方法,即在RGB颜色空间,及2g-r-b法的基础上,通过开运算和(g-r)^2分割因子,实现图像背景的有效分割。
Based on researching and contrasting several traditional methods of image segmentation in green crop, an improved image segmentation method based on the Green 2＊G-R-B is proposed to solve image segmentation with nutrient deficiency diseases of crops in the natural lighting condition. It is in the RGB space and bases on 2＊g-r-b method. It has realized effective segmentation of images background by using opening calculation and the （g-r） ^2 key index.
出处
《农业网络信息》
2009年第12期15-17,共3页
Agriculture Network Information
关键词
计算机视觉
营养缺素
图像处理
番茄
背景分割
computer vision
nutrient defieieney
image treatment
tomato
segmentation background
