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一种基于模糊集的医学图像增强方法
引用本文:郝征科,魏明果. 一种基于模糊集的医学图像增强方法[J]. 计算机与数字工程, 2007, 35(3): 117-118
作者姓名:郝征科  魏明果
作者单位:三峡大学理学院,宜昌,443002;三峡大学理学院,宜昌,443002
摘    要:鉴于医学超声图像的对比度较差,使得某些图像细节难以辨认,采取基于小波包和模糊集的图像增强方法。结果表明,此增强方法能够增强图像微小细节,提高图像对比度,改善图像的视觉效果,从而提高诊断的准确性。

关 键 词:图像增强  模糊集  小波包分析
修稿时间:2006-04-21

A New Enhancement Method of Image Based on Fuzzy Set
Hao Zhengke,Wei Mingguo. A New Enhancement Method of Image Based on Fuzzy Set[J]. Computer and Digital Engineering, 2007, 35(3): 117-118
Authors:Hao Zhengke  Wei Mingguo
Affiliation:Hao Zhengke
Abstract:In view of poor contrast and the distinguish problem between normal organization and morbid organization of the medical image, we adapt an enhanced image algorithm that is based on wavelet packet transformation and fuzzy sets. Experiment of the method demonstrates that the algorithm not only enhances the trivial image details and image contrast, but also has good visual effect, thus it improves the diagnosis accuracy.
Keywords:image enhance  fuzzy sets  wavelet packet analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
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