| 基于改进的最大类间方差算法的图像分割研究 |
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| 引用本文： | 瞿中. 基于改进的最大类间方差算法的图像分割研究[J]. 计算机科学, 2009, 36(5): 276-278 |
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| 作者姓名： | 瞿中 |
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| 作者单位： | 重庆邮电大学计算机科学与技术学院,重庆,400065;重庆大学计算机学院,重庆,400030 |
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| 基金项目： | 重庆市科委自然科学基金 |
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| 摘 要： | 每种图像分割方法都只利用了图像信息中的部分特征,必然带有局限性,因此只能针对各种实际应用领域的需求来适当选择所需的方法.比较了几种阈值分割和边缘检测算法,着重研究了最大类阃方差算法,并对其进行改进.针对不同的图像进行了仿真,对实验结果进行了分析、研究、比较.结果表明,改进的Otsu算法能有效地提高图像分割的质量.
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| 关 键 词： | 最大类间方差算法 图像分割 阈值分割 边缘检测 |
| 收稿时间： | 2008-11-15 |
Research on Image Segmentation Based on the Improved Otsu Algorithm |
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| QU Zhong. Research on Image Segmentation Based on the Improved Otsu Algorithm[J]. Computer Science, 2009, 36(5): 276-278 |
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| Authors: | QU Zhong |
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| Affiliation: | College of Computer Science & Technology;Chongqing University of Posts & Telecommunications;Chongqing 400065;China;College of Computer Science;Chongqing University;Chongqing 400030;China |
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| Abstract: | Some characteristics were used in the image segmentation algorithms,these algorithms have the inevitable limitations,so the appropriate methods were selected for a variety of practical applications in the field of demand.Some threshold segmentation,edge detection algorithms were discussed,the Otsu algorithm and the improved Otsu algorithm were studied.The results of the simulation by different images were analysed,studied,compared.The results show that the improved Otsu algorithm can effectively improve the... |
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| Keywords: | Otsu algorithm Image segmentation Threshold segmentation Edge detection |
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