Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems

Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems

In this paper, feature extraction based on data-wave is proposed. The concept of data-wave is introduced to describe the rising and falling trends of the data over the long-term which are detected based on ripple and wave filters. Supported by data-wave, a novel symbol identifier with significant st...

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Main Authors: Xilong Liu, Hanbo Qian, Zhiqiang Cao, Chao Zhou, Yuequan Yang, Min Tan
Format: Article
Language:English
Published: SAGE Publishing 2012-12-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/54930
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spelling doaj-35c0b321c49549cbac32e51829bc50872020-11-25T03:24:08ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142012-12-01910.5772/5493010.5772_54930Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot SystemsXilong Liu0Hanbo Qian1Zhiqiang Cao2Chao Zhou3Yuequan Yang4Min Tan5 State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China The Center of Coordination & Support of SASTIND, Beijing, China State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China College of Information Engineering, Yangzhou University, Yangzhou, China State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaIn this paper, feature extraction based on data-wave is proposed. The concept of data-wave is introduced to describe the rising and falling trends of the data over the long-term which are detected based on ripple and wave filters. Supported by data-wave, a novel symbol identifier with significant structure features is designed and these features are extracted by constructing pixel chains. On this basis, the corresponding recognition and positioning approach is presented. The effectiveness of the proposed approach is verified by experiments.https://doi.org/10.5772/54930
collection DOAJ
language English
format Article
sources DOAJ
author Xilong Liu
Hanbo Qian
Zhiqiang Cao
Chao Zhou
Yuequan Yang
Min Tan
spellingShingle Xilong Liu
Hanbo Qian
Zhiqiang Cao
Chao Zhou
Yuequan Yang
Min Tan
Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems
International Journal of Advanced Robotic Systems
author_facet Xilong Liu
Hanbo Qian
Zhiqiang Cao
Chao Zhou
Yuequan Yang
Min Tan
author_sort Xilong Liu
title Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems
title_short Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems
title_full Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems
title_fullStr Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems
title_full_unstemmed Data-Wave-Based Features Extraction and Its Application in Symbol Identifier Recognition and Positioning Suitable for Multi-Robot Systems
title_sort data-wave-based features extraction and its application in symbol identifier recognition and positioning suitable for multi-robot systems
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2012-12-01
description In this paper, feature extraction based on data-wave is proposed. The concept of data-wave is introduced to describe the rising and falling trends of the data over the long-term which are detected based on ripple and wave filters. Supported by data-wave, a novel symbol identifier with significant structure features is designed and these features are extracted by constructing pixel chains. On this basis, the corresponding recognition and positioning approach is presented. The effectiveness of the proposed approach is verified by experiments.
url https://doi.org/10.5772/54930
work_keys_str_mv AT xilongliu datawavebasedfeaturesextractionanditsapplicationinsymbolidentifierrecognitionandpositioningsuitableformultirobotsystems
AT hanboqian datawavebasedfeaturesextractionanditsapplicationinsymbolidentifierrecognitionandpositioningsuitableformultirobotsystems
AT zhiqiangcao datawavebasedfeaturesextractionanditsapplicationinsymbolidentifierrecognitionandpositioningsuitableformultirobotsystems
AT chaozhou datawavebasedfeaturesextractionanditsapplicationinsymbolidentifierrecognitionandpositioningsuitableformultirobotsystems
AT yuequanyang datawavebasedfeaturesextractionanditsapplicationinsymbolidentifierrecognitionandpositioningsuitableformultirobotsystems
AT mintan datawavebasedfeaturesextractionanditsapplicationinsymbolidentifierrecognitionandpositioningsuitableformultirobotsystems
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