| 基于复杂背景的二维条码提取技术 |
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| 引用本文： | 陈文艺,陈蓓敏.基于复杂背景的二维条码提取技术[J].西安邮电学院学报,2014(2):48-51. |
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| 作者姓名： | 陈文艺 陈蓓敏 |
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| 作者单位： | [1]西安邮电大学物联网与两化融合研究院,陕西西安710061; [2]西安邮电大学通信与信息工程学院,陕西西安710121 |
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| 摘 要： | 为了从含有大量物体的复杂背景图像中提取出二维条码,给出一种基于图像连通区域特征、角点特征和边缘特征的提取方法,即将灰度图像二值化后进行形态学处理,排除复杂背景中大量无关因素,对筛选出的子区域进行角点检测准确定位出二维条码的位置。通过采集大量不同光照、不同物体为背景的图像对新方法进行检测,提取结果均获成功。
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| 关 键 词： | 二维条码 同态滤波 连通区域 角点检测 |
Extraction technology of 2-D barcode under complicated background |
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| Affiliation: | CHEN Wenyi , CHEN Beimin (1. Institute of IOT ＆ IT-based Industrialization, Xi＇an University of Posts and Telecommunications, Xi＇an 710121, China; 2. School of Communication and Information Engineering, Xi＇an University of Posts and Telecommunications, Xi＇an 710121, China) |
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| Abstract: | To extract 2-D barcode from an image with complex scenes of many objects,an extraction technology based on the image features of connected region,corner and edge is proposed.It morphologically processes the gray-scale image after binarization,eliminates a large number of unrelated factors in complex scenes,and localizes 2-D barcode by checking corner detection of the selected sub-regions.Experiments on detecting many collected images under non-uniform illumination with different objects show that this technology can extract 2-D barcode from complex scenes accurately. |
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| Keywords: | 2-D barcode homomorphic filter connected region corner detection |
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