| 变分分解模型的模糊增强算法 |
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| 引用本文： | 任慧,李新华,马春,朱逸婷.变分分解模型的模糊增强算法[J].安徽大学学报(自然科学版),2012(6):62-66. |
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| 作者姓名： | 任慧 李新华 马春 朱逸婷 |
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| 作者单位： | 安徽大学计算智能与信号处理教育部重点实验室;安徽中医学院医药信息工程学院 |
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| 基金项目： | 安徽省教育厅自然科学基金资助项目(KJ2007B069);安徽大学“211工程”学术创新团队基金资助项目(KJTD007A) |
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| 摘 要： | 将分解模型应用到模糊增强算法中,用有界变分(BV)函数描述图像的结构信息,空间G描述图像的纹理信息,提出一种基于变分分解(BV-G)模型的模糊增强算法.给出算法原理和实现步骤,并通过多组对比实验验证该算法的可行性.
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| 关 键 词： | BV-G模型 结构信息 纹理信息 模糊增强 |
A fuzzy enhancement algorithm based on variational decomposition |
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| REN Hui,LI Xin-hua,MA Chun,ZHU Yi-ting.A fuzzy enhancement algorithm based on variational decomposition[J].Journal of Anhui University(Natural Sciences),2012(6):62-66. |
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| Authors: | REN Hui LI Xin-hua MA Chun ZHU Yi-ting |
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| Affiliation: | 1 (1.Key Laboratory of Intelligent Computing and Signal Processing,Ministry of Education,Anhui University,Hefei 230039,China; 2.College of Medical Information Engineering,Anhui University of Traditional Chinese Medicine,Hefei 230038,China) |
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| Abstract: | The decomposition model was applied to the fuzzy enhancement algorithm.To describe the image structure information,a bounded variational(BV) function was used.And space G was used to describe the texture information of image.A fuzzy enhancement algorithm based on variational decomposition(BV-G) model was proposed.Withe the presented algorithm principle and implementation steps,the feasibility of the algorithm was verified through the experiments. |
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| Keywords: | BV-G model structure information texture information fuzzy enhancement |
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