| 一种改进的分水岭分割算法 |
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| 引用本文： | 朱逸婷,李新华,任慧.一种改进的分水岭分割算法[J].安徽大学学报(自然科学版),2013(3). |
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| 作者姓名： | 朱逸婷 李新华 任慧 |
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| 作者单位： | 安徽大学计算智能与信号处理教育部重点实验室; |
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| 基金项目： | 安徽省教育厅自然科学基金资助项目(KJ2007B069);安徽大学“211工程”学术创新团队基金资助项目(KJTD007A) |
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| 摘 要： | 传统的分水岭分割算法受噪声和图像细节信息的影响,存在过分割、对噪声敏感等缺陷.针对这些缺陷,提出一种基于密度模糊聚类的分水岭分割算法.首先对图像进行分水岭分割,提取各子区域灰度均值,然后对灰度均值进行密度模糊聚类,进行区域合并.进行多组对比实验,结果表明此算法具有可行性和有效性.
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| 关 键 词： | 分水岭 模糊密度聚类 形态学重建 点密度 区域合并 |
Improved watershed segmentation algorithm |
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| Abstract: | Because of the noise and the influence of the information of image details,the shotcoming of the traditional watershed algorithm lies in much segmentation,sensitive to noise and so on.Therefore,the paper comes up with watershed segmentation algorithm based on fuzzy density clustering.First image was segmented by watershed,the small area average value was extracted,then the image for gray average value was merged by fuzzy density clustoring.Many contrast experimental results verified the feasibility and validity of the method. |
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| Keywords: | watershed segmentation fuzzy density clustering morphological reconstruction dot density area merge |
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