| 一种新的无人机监控图像实时目标识别算法 |
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| 作者姓名： | 聂振钢 张晓林 |
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| 作者单位： | 北京航空航天大学电子信息工程学院，北京航空航天大学电子信息工程学院 北京 100083，北京 100083 |
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| 摘 要： | 提出一种新的无人机监控图像实时目标识别算法。首先将获取的无人机监控图像应用自适应阈值分割将其转换为二值图像。对二值图像进行形态学处理,定位潜在目标出现的位置。最后对潜在目标区域再次应用局部自适应阈值分割获取目标,同时给出每个目标的图像坐标位置。飞行试验表明该算法保证实时性的情况下,有较高的识别正确率。
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| 关 键 词： | 自适应阈值分割 形态学图像处理 无人机 |
A New Real-time Object Recognition Algorithm for Aerial Surveillance Video |
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| Authors: | Nie Zhengang Zhang Xiaolin |
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| Institution: | Nie Zhengang Zhang Xiaolin |
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| Abstract: | In this paper,we propose a new real-time object recognition algorithm for aerial surveillance video.The proposed algorithm first segments the captured video using the adaptive threshold segmentation method to get the binary image.Using morphological image pro- cessing and edge information we can position the potential object areas.Finally,we again use the adaptive threshold segmentation method for the potential object areas to get the final result,but also give the position of each object in the image.Experimental results using video captured from our mini-Unmanned Aerial Vehicle (UAV) show that our proposed real-time object recognition algorithm is both effective and efficient. |
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| Keywords: | Adaptive threshold segmentation Morphological image processing UAV |
| 本文献已被 CNKI 等数据库收录！ |
