| 基于改进“自蛇”模型的图像去噪方法 |
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| 引用本文： | 周浩.基于改进“自蛇”模型的图像去噪方法[J].科学技术与工程,2010,10(2). |
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| 作者姓名： | 周浩 |
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| 作者单位： | 1. 江苏科技大学计算机科学与工程学院,镇江,212003
2. 杭州天夏科技集团有限公司,杭州,310012 |
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| 摘 要： | 根据对现有的一些偏微分方程(PDEs)去噪模型的分析,提出了一种基于"自蛇"模型的的图像去噪模型。该模型在原模型上增加一个保真项,使其在图像滤波的同时能保留图像细节信息。与各去噪模型进行比较实验,实验结果表明:使用改进的模型对图像去噪在滤除噪声的同时可以保持细节信息,应用改进"自蛇"模型进行图像去噪是一种有效的工具。
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| 关 键 词： | 图像滤波 偏微分方程 方向扩散 “自蛇”模型 |
| 收稿时间： | 9/25/2009 9:04:53 AM |
| 修稿时间： | 10/2/2009 9:55:00 AM |
Image Noise Removal method Based on improved "Self-Snake" model |
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| zhouhao.Image Noise Removal method Based on improved "Self-Snake" model[J].Science Technology and Engineering,2010,10(2). |
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| Authors: | zhouhao |
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| Institution: | School of Computer Science and Engineering/a>;Jiangsu University of Science and Technology/a>;Zhenjiang 212003/a>;P.R.China/a>;Hangzhou Tianxia Technology Group Co./a>;Ltd1/a>;Hangzhou 310012/a>;P.R.China |
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| Abstract: | Based on some analysis of the existing partial differential equations (PDEs) denoising model,the model of image noise removal based on self-snake is proposed.Based on the original model,the model add a fidelity term and image noise remove using the improved model in the filtered noise while detailed information can be maintained.Compared with the various De-noising models,experimental results show that:Image noise remove using the improved model in the filtered noise while detailed information can be mainta... |
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| Keywords: | image denoising PDEs vector diffusion Self-snake model |
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