| 一种结合高帽变换和曲线演化模型的两阶段图像分割算法 |
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| 引用本文： | 倪倩,龚剑. 一种结合高帽变换和曲线演化模型的两阶段图像分割算法[J]. 医疗保健器具, 2010, 17(8): 11-13. DOI: 10.3936/j.issn.1674-4659.2010.08.011 |
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| 作者姓名： | 倪倩 龚剑 |
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| 作者单位： | 1. 广东广机国际招标股份有限公司,广东广州,510080
2. 南方医科大学,广东,广州,510515 |
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| 摘 要： | 针对图像形态学处理中高帽变换能有效提取图像中不均匀背景的特点,提出了一种结合高帽变换和曲线演化模型的两阶段图像分割算法。该算法有效的扩展了曲线演化模型的适用范围,即使对于背景不均匀的自然图像和医学图像也能有效的加以分割。实验结果表明：该算法既保留了原有曲线演化模型的优势,又能高效稳健、快速地完成曲线演化过程。
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| 关 键 词： | 图像分割 曲线演化 高帽变换 水平集 |
A Two-stage Image Segmentation Algorithm Combined Top-hat Transformation with Level Set Method |
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| NI Qian,GONG Jian. A Two-stage Image Segmentation Algorithm Combined Top-hat Transformation with Level Set Method[J]. Medicine Healthcare Apparatus, 2010, 17(8): 11-13. DOI: 10.3936/j.issn.1674-4659.2010.08.011 |
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| Authors: | NI Qian GONG Jian |
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| Affiliation: | NI Qian1,GONG Jian2(1GMG International Tendering Co.,Ltd,Guangzhou 510080 China,2Southern Medical University,Guangzhou 510515,China) |
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| Abstract: | Traditional level set method is a very popular image segmentation algorithm for its highly flexibility.However,it is un able to handle images with uneven background which is a very common phenomenon existed among the natural optical and medical images.Meanwhile the morphological top-hat transform is very effective for estimating the uneven background.Thus we propose a two-stage algo rithm for image segmentation by combining top-hat transformation and level set method in this paper to remedy the drawback for... |
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| Keywords: | Image segmentation Curve evolution Top-hat transformation Level set |
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