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| 基于CNN-PDE偏差异质扩散预处理的红外图像分水岭分割 | |
| 引用本文： | 鞠磊,郑德玲,张蕾.基于CNN-PDE偏差异质扩散预处理的红外图像分水岭分割[J].北京科技大学学报,2006,28(4):392-395,402. |
| 作者姓名： | 鞠磊 郑德玲 张蕾 |
| 作者单位： | 1. 北京科技大学信息工程学院,北京,100083;北京电子科技学院通信工程系,北京,100070 2. 北京科技大学信息工程学院,北京,100083 3. 山东胜利职业学院,东营,257062 |
| 摘 要： | 为了抑止采用分水岭方法分割红外图像时的过分割现象,首先利用细胞神经网络高效求解偏微分方程的能力,实现了可调偏差异质扩散滤波器并用其对图像作预处理. 为了消除噪声残留,引入了平滑系数与限制强度系数对梯度图作阈值化处理. 实际红外图像的分水岭分割结果显示,所提出的预处理方法能够有效抑止过分割现象. |
| 关 键 词： | 图像分割 红外图像处理 细胞神经网络 异质扩散 滤波器 偏差 异质扩散 预处理方法 红外图像 分水岭 filter diffusion based watershed segmentation image 显示 结果 阈值化处理 梯度图 强度系数 平滑系数 残留 消除噪声 扩散滤波器 差异 |
| 收稿时间： | 2005-02-17 |
| 修稿时间： | 2005-02-172005-09-06 |
Infrared image watershed segmentation based on the preprocess by CNN-PDE bias-anisotropic diffusion filter |
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| JU Lei,ZHENG Deling,ZHANG Lei.Infrared image watershed segmentation based on the preprocess by CNN-PDE bias-anisotropic diffusion filter[J].Journal of University of Science and Technology Beijing,2006,28(4):392-395,402. | |
| Authors: | JU Lei ZHENG Deling ZHANG Lei |
| Affiliation: | 1 Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China ;2 Department of Communications Engineering, Beijing Electronic Science Technology Institute, Beijing 150027, China ;3 Shandong Shengli Vocational College, Dongying 257062, China |
| Abstract: | The watershed algorithm leads to over-segment when it was used to segment an infrared image. An adjustable bias-anisotropic diffusion filter based on CNN-PDE for smoothing an infrared image was studied. In order to remove the residual noise which can not be smoothed by filter, the smoothing coefficient and constrain coefficient were used to threshold the gradient image. The result of watershed segmentation of a practical infrared image shows the presented method can restrain over-segmentation effectively. |
| Keywords: | image segmentation infrared image processing cellular neural networks anisotropic diffusion filter |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |
