【摘要】 在机器人视觉中,颜色是物体识别和认知过程中必不可少的信息。在YUV颜色空间的基础上,提出了一种基于颜色特征的目标识别算法,采用学习——扩充法获得适应性目标颜色特征的空间分布,克服环境光照变化对目标颜色特征提取的影响,并在算法中采用“位与”运算,提高了识别效率,实际应用证明了该方法的有效性。更多还原

【Abstract】 In the robot vision, the color is the essential information in the object recognition and the cognition process. this paper proposed one kind target identification algorithm based on the color characteristic with the YUV color space, uses the study--expansion algorithm to obtain the spatial distribution of the compatible goal color characteristic, overcomes the influence that the environment illumination change withdraws to the goal color characteristic, and the efficiency of the recognition is improved by using "bit-and" operation in the course of color clustering, The validity of the method is proved through actual applications.更多还原