基于颜色和形状特征的目标检测与识别  

Object Detection and Recognition Based on Color and Shape Features

作　　者：杜艳红[1] 高庆吉[2] 曾浩[1] 牛国臣[1] 

机构地区：[1]东北电力学院自动化系,吉林吉林132012 [2]哈尔滨工业大学计算机科学与技术学院,黑龙江哈尔滨150001

出　　处：《东北电力学院学报》2005年第2期7-11,共5页Journal of Northeast China Institute of Electric Power Engineering

摘　　要：研究了一种基于颜色和形状特征的相似目标检测与识别方法。采用混合学习方式来获得目标颜色阈值解决环境光照变化,利用改进的Hough变换检测目标形状,解决目标部分遮挡和阴影的影响,基于模糊理论判定目标颜色和形状信度,该方法应用于移动机器人在复杂环境中对目标的检测与识别,实验结果证明了所提出方法的有效性。A method of similar objects recognition in complex environment baed 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 visulizing partly are detected by improved Hough transform.An object is fuzzy judged based on fusing its color beilef and shape belief.The validity of this method is proved by the experiments on mobile robot.

关 键 词：目标识别 颜色和形状 HOUGH变换 模糊判定 混合学习 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]