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您的检索式：作者名="Xueming Qiao"
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| 1 | Nanoalignment mask fabricated directly on Si by AFM显示文摘 | Dang Xueming Hu Qiao | 2001 | Surf Interface Anal2001，32，： | 1 |
| 2 | Research on Monitoring Methods for Electricity Hall Staff Based on Autonomous Updating and Semi-supervising Model显示文摘 | Yao Tang Zhenjuan Qiao Rui Zou Xueming Qiao Chenglin Liu Yiliang Wang | 2018 | 国际计算机前沿大会会议论文集2018，，2： | 0 |
| 3 | Research on Electricity Personnel Apparel Monitoring Model Based on Auxiliary Categorical-Generative Adversarial Network显示文摘 | Xueming Qiao Yiping Rong Yanhong Liu Ting Jiang | 2018 | 国际计算机前沿大会会议论文集2018，，2： | 0 |
| 4 | A Method of Text Extremum Region Extraction Based on Joint-Channels显示文摘Natural scene recognition has important significance and value in the fields of image retrieval,autonomous navigation,human-computer interaction and industrial automation.Firstly,the natural scene image non-text content takes up relatively high proportion;secondly,the natural scene images have a cluttered background and complex lighting conditions,angle,font and color.Therefore,how to extract text extreme regions efficiently from complex and varied natural scene images plays an important role in natural scene image text recognition.In this paper,a Text extremum region Extraction algorithm based on Joint-Channels(TEJC)is proposed.On the one hand,it can solve the problem that the maximum stable extremum region(MSER)algorithm is only suitable for gray images and difficult to process color images.On the other hand,it solves the problem that the MSER algorithm has high complexity and low accuracy when extracting the most stable extreme region.In this paper,the proposed algorithm is tested and evaluated on the ICDAR data set.The experimental results show that the method has superiority. | Xueming Qiao Weiyi Zhu Dongjie Zhu Liang Kong Yingxue Xia Chunxu Lin Zhenhao Guo Yiheng Sun | 2020 | Journal on Artificial Intelligence2020，2，1： | 0 |
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