[1]c冉冉,杨唐文,阮秋琦.结合HSL模型与傅里叶描述子的三维彩色物体识别[J].智能系统学报,2011,6(1):73-78.
RAN Ran,YANG Tangwen,RUAN Qiuqi.Recognizing a colored object based on an HSL model and Fourier descriptors[J].CAAI Transactions on Intelligent Systems,2011,6(1):73-78.
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RAN Ran,YANG Tangwen,RUAN Qiuqi.Recognizing a colored object based on an HSL model and Fourier descriptors[J].CAAI Transactions on Intelligent Systems,2011,6(1):73-78.
结合HSL模型与傅里叶描述子的三维彩色物体识别
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
6
期数:
2011年第1期
页码:
73-78
栏目:
学术论文—机器感知与模式识别
出版日期:
2011-02-25
- Title:
- Recognizing a colored object based on an HSL model and Fourier descriptors
- 文章编号:
- 1673-4785(2011)01-0073-06
- Keywords:
- color segmentation using HSL; Fourier descriptors; shape recognition; colored object recognition
- 分类号:
- TP391.4
- 文献标志码:
- A
- 摘要:
- 目标物识别是机器人导航中重要的一步，现存的方法大多对于场景中的彩色物体仅采用颜色分割，或者转化为灰度图进行识别，不能满足彩色物体识别的需要.提出在基于HSL模型颜色分割的基础上，结合傅里叶算子对轮廓特征识别的优势，先用三维目标各个角度成像的傅里叶描述子建立分类器，再对三维物体的二维成像进行轮廓特征识别，并在颜色分割的过程中采用了快速算法.实验表明，物体测试集的识别率达到了73.3%，可应用于对实时性要求比较高的彩色物体智能识别系统.
- Abstract:
- Object recognition is an important step for achieving robot navigation. There are many approaches in this domain to recognize a colored object. Most of them segment an image by color to determine the target, or convert the color image to grey before recognizing it. This study focused both on color and shape information. First, the image was segmented based on an HSL model and flood fill algorithm; secondly, by combination with the Fourier operator that has advantage in contour feature recognition, build a classifier by Fourier descriptor to discriminate a threedimensional object from every angle, and then identify the twodimensional image’s outline feature of a threedimensional object, and use a fast algorithm during color segmentation. The experiments show that the average recognition rate reaches 73.3% on the testing set. The method proposed in this paper can be applied to colored object intelligent recognition system which has higher realtime requirement.
- 参考文献/References:
-
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- 相似文献/References:
-
[1]高海燕,阮秋琦.正面视角的步态识别[J].智能系统学报,2011,6(2):119.
GAO Haiyan,RUAN Qiuqi.A gait recognition method based on frontview[J].CAAI Transactions on Intelligent Systems,2011,6():119.
备注/Memo
收稿日期：2010-04-21.
基金项目：国家自然科学基金资助项目(60973060).
通信作者：冉冉.
E-mail:auroranran@live.cn.
作者简介：
冉冉，女，1986年生，硕士研究生，主要研究方向为数字图像处理和机器视觉方向.
杨唐文，男，1971年生，讲师，博士，主要研究方向为智能传感与信息处理、机器人学与技术.
?阮秋琦，男，1944年生，教授，博士生导师，博士，北京交通大学信息科学研究所所长，国务院学位委员会学科评议组成员，IEEE 高级会员.主要研究方向为图像处理、计算机视觉、多媒体信息处理、虚拟现实、计算机支持的协同工作.曾承担国家自然科学基金重大项目，国家自然科学基金项目，国家 “863”计划项目，铁道部、省、市级科研项目50余项.曾获国家教委科技进步二等奖，铁道部科技进步二等奖和三等奖等.发表学术论文350余篇，出版书籍3部，获国家专利1项.
更新日期/Last Update:
2011-04-13