农业机械学报2012，Vol.43Issue(12)：176-180,5.DOI:10.6041/j.issn.1000-1298.2012.12.032
基于YUV颜色模型的番茄收获机器人图像分割方法
Image Segmentation Method Based on YUV Color Space for Tomato Harvesting Robot
摘要
Abstract
In the research of segmentation of the target image for tomato harvesting robot, the accuracy was affected by illumination and calculation complication. Firstly, the characteristics of RGB, HIS and YUV color spaces were compared. It was theoretically analyzed that the YUV color space applying to tomato harvesting robot vision system was feasible. Then, the threshold value of the ripe tomato in their color spaces was given according to the results of experiments and experience. The double-threshold algorithm based on YUV color space was put forward to apply to the tomato harvesting robot vision system. And the experiments under different illumination were designed to segment ripe tomato respectively in RGB, HIS and YUV color space in order to test the effect of those algorithms. The experiments also showed that the algorithm based on YUV color space had the better robust and the better real-time than the others.关键词
番茄/收获机器人/YUV颜色模型/图像分割/机器视觉Key words
Tomato/ Harvesting robot/ YUV color space/ Image segmentation/ Machine vision分类
信息技术与安全科学引用本文复制引用
林伟明,胡云堂..基于YUV颜色模型的番茄收获机器人图像分割方法[J].农业机械学报,2012,43(12):176-180,5.基金项目
江西省教育厅青年科学基金资助项目(GJJ10257) （GJJ10257）
