| 超声医学图像滤波和对比度增强新方法 |
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| 引用本文： | 陈科,林江莉,李德玉,汪天富. 超声医学图像滤波和对比度增强新方法[J]. 生物医学工程学杂志, 2007, 24(2): 434-438 |
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| 作者姓名： | 陈科 林江莉 李德玉 汪天富 |
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| 作者单位： | 1. 四川大学,生物医学工程系,成都,610065
2. 四川大学,生物医学工程系,成都,610065;深圳大学,信息工程学院,深圳,518060 |
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| 基金项目： | 国家自然科学基金;四川省青年科技基金 |
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| 摘 要： | 较低的对比度和独有的speckle噪声是影响超声医学图像质量的主要原因,本研究利用各向异性扩散滤波,在去除图像中大量噪声的同时,计算滤波过程中图像信息的丢失,从而得到对比度增强模型中的对比度函数,并利用对比度增强模型达到图像对比度增强的目的。实验结果表明,与滤波后的直方图均衡化后结果相比,不仅能够有效地去除图像中的噪声,也能明显提高图像对比度。因此,本文方法是提高超声医学图像质量的一种有效途径。
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| 关 键 词： | 各向异性扩散 对比度增强 超声医学图像 熵产生 |
| 修稿时间： | 2005-10-282006-01-11 |
Filtering and Contrast Enhancement of Medical Ultrasonic Image |
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| Chen Ke,Lin Jiangli,Li Deyu,Wang Tianfu. Filtering and Contrast Enhancement of Medical Ultrasonic Image[J]. Journal of biomedical engineering, 2007, 24(2): 434-438 |
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| Authors: | Chen Ke Lin Jiangli Li Deyu Wang Tianfu |
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| Affiliation: | 1.Department of Biomedical Engineering of Sichuan University, Chengdu 610065 ,China; 2.College of Information Engineering, Shenzhen University,Shenzhou 518060,China |
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| Abstract: | Lower contrast and speckle noise are the main reasons which decline the quality of medical ultrasonic images. In this paper, a new method is proposed to filter the speckle noises and enhance the contrast simultaneously. Anisotropic diffusion filtering method was firstly applied to filter images. Then the loss of information, which the contrast function of contrast enhancement model lies on, was obtained. Finally, the contrast can be enhanced by using enhancement model. Experimental results show that the proposed method not only removes the speckle noises effectively, but also enhances the contrast obviously. This method supplies an effective approach for improving the quality of medical ultrasonic images. |
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| Keywords: | Anisotropic diffusion Contrast enhancement Medical ultrasonic image Entropy production |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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