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基于多尺度分析的MR图像粗糙集增强算法 被引量：3

Contrast enhancement of MR images based on muliscale edge representation and rough sets
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摘要 粗糙集理论是一种新的处理含糊和不确定问题的数学工具,本文在对MR图像多尺度边缘表示的基础上;引入粗糙集理论对图像作对比度增强处理,提出了一种基于多尺度分析的粗糙集图像增强算法。该方法具有良好的增强效果,并对噪声有一定的抑制作用,本文最后给出了具体实验结果。 Rough sets theory is a new mathematical tool to deal with vagueness and uncertainly. In this paper. we propose an effective contrasl enhancement method for MR images based on multiscale edge representation of images. In the method, the rough sets theory is introduced. At the end, we present some experimental results from enhancing MR images and discuss the advantages of the method.
作者 王慧贤 杨文辉
机构地区 中国科学院电工研究所
出处 《中国医学物理学杂志》 CSCD 2003年第3期151-153,共3页 Chinese Journal of Medical Physics
关键词 多尺度分析 对比度增强 粗糙集 muitiscale analysis contrast enhancement rough sets
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献6

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二级参考文献66

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共引文献253

同被引文献41

引证文献3

二级引证文献15

中国医学物理学杂志
2003年 第3期

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