【摘要】 研究了一种具有相似颜色和形状特征的目标检测与识别方法。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。利用改进的Hough变换检测目标形状特征 ,解决目标区域出现阴影及目标被部分遮挡对识别的影响。最后通过融合前面所获得的颜色信度和形状信度 ,对目标进行模糊判决。通过移动机器人在复杂环境中对目标的检测与识别应用 ,证明了该方法的有效性更多还原

【Abstract】 A method of similar objects recognition in complex environment based on color and shape features is proposed. The distributing color space of certain object is obtained by learning-extending method in order to deal with the image captured under the varied lightness. Shape features of certain object with shadow on it or visualizing partly are detected by improved Hough transform. An object is fuzzy judged based on fusing its color belief and shape belief. The validity of this method is proved by the experiments on mobile robot.更多还原