摘要
研究了机器人足球视觉系统中基于彩色图像分割的目标识别的方法。为了适应光照条件的变化,采用分离出亮度信息的YUV颜色空间;将彩色图像分割分为离线的颜色分类和实时的分割、识别两个部分,并采用最大似然法完成颜色的自动分类,满足了机器人足球视觉系统实时、准确的要求。试验证明,在光照条件改变的情况下能够有效地进行目标识别。
A technique for object recognition is proposed based on color image segmentation in robot soccer domain. To adapt to the change of light condition, YUV color space is used . In this application, real-time performance and robustness are primary concerns. These requirements are met in two steps: an off-line color classification based on Maximum Likelihood criterion and real-time color segmentation. Experiment results show that the proposed technique is reliable and robust even in presence of changing illumination environment conditions.
出处
《计算机工程与设计》
CSCD
2004年第11期2093-2095,共3页
Computer Engineering and Design
