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| 论文编号: |
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| 第一作者所在部门: |
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| 中文论文题目: |
Robust and parallel Uyghur text localization in complex background images
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| 英文论文题目: |
Robust and parallel Uyghur text localization in complex background images
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| 论文题目英文: |
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| 作者: |
Song, Yun
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| 论文出处: |
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| 刊物名称: |
MACHINE VISION AND APPLICATIONS
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| 年: |
2017
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| 卷: |
28 |
| 期: |
7 |
| 页: |
755-769 |
| 联系作者: |
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| 收录类别: |
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| 影响因子: |
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| 摘要: |
Uyghur 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. |
| 英文摘要: |
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