| 基于综合技术的组织细胞图像分割 |
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| 引用本文： | 万卫兵,施鹏飞.基于综合技术的组织细胞图像分割[J].计算机应用,2006,26(2):400-0402. |
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| 作者姓名： | 万卫兵 施鹏飞 |
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| 作者单位： | 上海交通大学,图像处理与模式识别研究所,上海,200030;上海交通大学,图像处理与模式识别研究所,上海,200030 |
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| 摘 要： | 在组织工程培养细胞图像检测中，需要得到较完整的清晰轮廓线以获取生长信息。为了适应这种需求，提出了一种边缘检测综合算法。首先应用小波尺度独立边缘检测方法，得到简洁的边缘；然后采用图像融合的方法，结合Canny和动态聚类方法得到最终的细胞分割图。实验结果证明了该算法的可行性和有效性。
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| 关 键 词： | 组织细胞 小波变换 边缘检测 图像融合 |
| 文章编号： | 1001-9081（2006）02-0400-03 |
| 收稿时间： | 2005-08-19 |
| 修稿时间： | 2005-08-192005-10-26 |
Tissue cell segmentation based on integrate techniques |
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| WAN Wei-bing,SHI Peng-fei.Tissue cell segmentation based on integrate techniques[J].journal of Computer Applications,2006,26(2):400-0402. |
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| Authors: | WAN Wei-bing SHI Peng-fei |
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| Affiliation: | Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China |
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| Abstract: | To investigate cultural cell growth information in tissue engineering, it is important to get clear contour line of cell. An edge detection algorithm was proposed. First it got rough edge by scale_independ algorithm of wavelet transform, then adopted algorithm of image fusion that combines Canny and clustering measures to get final segmenting result, it is proved validity and feasibility by experiment result. As an integrate technique for image segmentation can apply widely in image processing field. |
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| Keywords: | tissue cell wavelet transform edge detection image fusion |
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