[1]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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Recognizing a colored object based on an HSL model and Fourier descriptors

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 1 Page number: 73-78 Column: 学术论文—机器感知与模式识别 Public date: 2011-02-25
Title:
Recognizing a colored object based on an HSL model and Fourier descriptors
Author(s):
RAN Ran;  YANG Tangwen;  RUAN Qiuqi
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China
Keywords:
color segmentation using HSL;  Fourier descriptors;  shape recognition;  colored object recognition
CLC:
TP391.4
DOI:
-
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 threedimensional object from every angle, and then identify the twodimensional image’s outline feature of a threedimensional 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 realtime requirement.
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