| 糜状食品物料微结构图像的多重分形特征识别 |
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| 引用本文： | 李华北,赵杰文.糜状食品物料微结构图像的多重分形特征识别[J].信号处理,2001,17(1):67-71. |
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| 作者姓名： | 李华北 赵杰文 |
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| 作者单位： | 江苏理工大学生物与环境工程学院图像识别研究室 |
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| 基金项目： | 国家自然科学基金资助项目(19872030) |
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| 摘 要： | 本文基于小波变换边缘奇异性分析原理,研究了糜状食品物料微结构图像的多重分形结构及其特性,求出其局部奇异性指数;并采用计算高次信息量维数的办法,建立了糜状食品物料微结构图像的多重分形奇异谱.通过分析图像的奇异谱,定义了表征不同糜状食品物料图像微结构的参量,为建立图像微结构与流变特性之间的定量描述打下基础.
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| 关 键 词： | 多重分形 小波分析 Holder指数 奇异谱 |
Multifractal Feature Recognition on Microstructure Image of Minced Food Material |
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| Li Huabei,Zhao Jiewen.Multifractal Feature Recognition on Microstructure Image of Minced Food Material[J].Signal Processing,2001,17(1):67-71. |
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| Authors: | Li Huabei Zhao Jiewen |
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| Affiliation: | Jiangsu University of Science and Technology |
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| Abstract: | In this paper, multifractal structure and its property of the microstructure image of minced food material are researched in wavelet analysis, and the local singularity is solved. What is more, the method of computing information content dimension is applied to found the multifractal singularity spectrum on microstructure image of minced food material. Through the analysis of singularity spectrum, the parameter of expressing different microstructure is denned, that make the base for modeling bedween microstructure and rheological properties. |
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| Keywords: | Multifractal Wavelet analysis H-index Singularity spectrum |
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