摘要
为了改善农业喷洒机器人视觉系统中图像的处理效果,对视觉系统采集到的RGB彩色图像进行2G-R-B变换处理。对得到的超绿灰度图像,分别使用对比度拉伸变换和直方图均衡化两种方法进行图像增强处理。比较这两种方法的处理效果,结果表明:直方图均衡化法对田间杂草图像具有较好的增强效果。
In order to improve the treatment effect of agricultural spraying robot vision system image, the RGB color image is converted into 2G-R-B image. Contrast stretching and histogram equalization transformation have been used on the obtained ultra-green grayscale image to enhance image processing. Comparison of the treatment effects of the two methods show that the histogram equalization method can achieve better image enhancement effect on weed.
出处
《农业科技与装备》
2014年第8期35-37,共3页
Agricultural Science & Technology and Equipment
基金
内蒙古自然科学基金项目(2013MS0815)
关键词
图像处理
图像增强
杂草
直方图
image processing
image enhancement
weeds
histogram
