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基于颜色和形状特征的目标检测与识别
引用本文:杜艳红,高庆吉,孙承琦,曾浩.基于颜色和形状特征的目标检测与识别[J].东北电力学院学报,2005,25(1):48-53.
作者姓名:杜艳红  高庆吉  孙承琦  曾浩
作者单位:东北电力学,院自动化系,吉林,吉林,132012;哈尔滨工业大学,计算机科学与技术学院,黑龙江,哈尔滨150001;中国民用航空学院,交通工程学院,天津,300300
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。采用学习一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。

关 键 词:目标识别  颜色和形状  Hough变换  模糊判决
文章编号:1005-2992(2005)01-0048-06

Object Detection and Recognition Based on Color and Shape Features
DU Yan-hong,GAO Qing-ji,SUN Cheng-qi,ZENG Hao.Object Detection and Recognition Based on Color and Shape Features[J].Journal of Northeast China Institute of Electric Power Engineering,2005,25(1):48-53.
Authors:DU Yan-hong  GAO Qing-ji  SUN Cheng-qi  ZENG Hao
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.
Keywords:Object recognition  Color and shape  Hough transform  Fuzzy judge
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