| 一种利用快速2D熵阈值算法的目标图像分割方法研究 |
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| 引用本文： | 吴晗平.一种利用快速2D熵阈值算法的目标图像分割方法研究[J].系统工程与电子技术,1997(5). |
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| 作者姓名： | 吴晗平 |
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| 作者单位： | 中国船舶工业总公司七院第七一七研究所!武汉430073 |
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| 摘 要： | 目标图像分割是自动目标识别(ATR)的重要环节,其性能对ATR系统具有显著影响。本文利用二维(2D)熵阈值进行目标图像分割,提出一种快速2D熵阈值算法,大大缩短了处理时间,减少了所需存储空间。另外,为了进一步改善分割效果,采用中值—平滑滤波进行图像预处理。实验结果表明,本方法具有很好的分割效果。
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| 关 键 词： | 图像处理 自动目标识别 算法 |
Research on Target Image Segmentation Using Fast 2D Entropic Thresholding Algorithm |
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| Wu HanpingInstitute No.,of the seventh Academy. CSSC. Wuhan.Research on Target Image Segmentation Using Fast 2D Entropic Thresholding Algorithm[J].System Engineering and Electronics,1997(5). |
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| Authors: | Wu HanpingInstitute No of the seventh Academy CSSC Wuhan |
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| Institution: | Wu HanpingInstitute No. 717 of the seventh Academy. CSSC. Wuhan 430073 |
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| Abstract: | Target image segmentation is one of the important steps for automatic target recognition (ATR). Its preformance strongly impacts on an ATR system. This paper proposes a fast 2D entropic thresholding algorithm by employing a two-dimensional (2D) entropic thresh-old to segment target images. The processing time of each image is greatly shortened and the re-quired memory space is also greatly reduced. For further improving the image segmentation, the median-smooth filtering is used to preprocess image. The experimental results show the tech-nique is very effective on image segmentation. |
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| Keywords: | Image segmentation ATR Two-dimensional entropy Threshold Algorithm |
| 本文献已被 CNKI 等数据库收录！ |
