CASIA OpenIR  > 数字内容技术与服务研究中心  > 听觉模型与认知计算
Robust and parallel Uyghur text localization in complex background images
Song, Yun1; Chen, Jianjun1,2; Xie, Hongtao2; Chen, Zhineng3; Gao, Xingyu4; Chen, Xi1
Source PublicationMACHINE VISION AND APPLICATIONS
2017-10-01
Volume28Issue:7Pages:755-769
SubtypeArticle
AbstractUyghur text localization in complex background images is a significant research for Uyghur image content analysis. In this paper, we propose a robust Uyghur text localization method in complex background images and provide a CPU-GPU heterogeneous parallelization scheme. Firstly, a multi-color-channel enhanced maximally stable extremal region is used to extract components in images, which is robust to blur and low contrast. Secondly, a two-stage component classification system is used to filter out non-text components. Finally, a component connected graph algorithm is proposed to construct text lines. Experiments on the proposed dataset demonstrate that our algorithm compares favorably with the state-of-the-art algorithms when handling Uyghur texts. Besides, the heterogeneous parallel implementation achieves 12.5 times speedup.
KeywordUyghur Text Localization Enhanced Msers Cpu-gpu Heterogeneous Parallelization
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00138-017-0837-3
WOS KeywordSTABLE EXTREMAL REGIONS ; NATURAL SCENE IMAGES ; READING TEXT ; SEARCH
Indexed BySCI ; ISTP
Language英语
Funding OrganizationNational Nature Science Foundation of China(61303171 ; Chinese Academy of Sciences(XDA06031000) ; Natural Science Foundation of Hunan Province(2016JJ2005) ; 61303175)
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic
WOS IDWOS:000412487500009
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20730
Collection数字内容技术与服务研究中心_听觉模型与认知计算
Affiliation1.Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Hunan Prov Key Lab Intelligent Proc Big Data Tran, Changsha, Hunan, Peoples R China
2.Chinese Acad Sci, Inst Informat Engn, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Software, Lab Parallel Software & Computat Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Song, Yun,Chen, Jianjun,Xie, Hongtao,et al. Robust and parallel Uyghur text localization in complex background images[J]. MACHINE VISION AND APPLICATIONS,2017,28(7):755-769.
APA Song, Yun,Chen, Jianjun,Xie, Hongtao,Chen, Zhineng,Gao, Xingyu,&Chen, Xi.(2017).Robust and parallel Uyghur text localization in complex background images.MACHINE VISION AND APPLICATIONS,28(7),755-769.
MLA Song, Yun,et al."Robust and parallel Uyghur text localization in complex background images".MACHINE VISION AND APPLICATIONS 28.7(2017):755-769.
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