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首页> 外文期刊>Journal of food engineering >Reconstruction of food microstructure via statistical correlation functions. The use of lineal-path distribution functions
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Reconstruction of food microstructure via statistical correlation functions. The use of lineal-path distribution functions

机译:通过统计相关函数重建食品的微观结构。使用线性路径分布函数

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摘要

The reconstruction of microstructure of biological and synthetic materials is of great importance for theoretical and practical application. The obtaining of this purpose through limited statistical information is a challenge at which some pioneering researchers are focusing their efforts. For the first time, a reconstruction method was used to rebuild bread microstructure by using the information of lineal-path distribution function (LPF). The method was a powerful tool to reconstruct bread microstructure; a perfect match between lineal-path function of reference and reconstructed images were obtained. The reconstructed images progressively improve, compared to the reference, increasing the number of LPFs used during reconstruction. The use of LPFs in different direction did not allowed to obtain a perfect match between the bread and the reconstructed images because, LPF did not contain sufficient micro-structure information however, the essential features of bread were captured proving the possibility to reconstruct food microstructure.
机译:生物和合成材料的微观结构的重建对于理论和实际应用具有重要意义。通过有限的统计信息来实现此目的是一个挑战,一些开拓性研究人员正在集中精力进行这项工作。首次使用一种重建方法,通过利用线性路径分布函数(LPF)的信息来重建面包的微观结构。该方法是重建面包微观结构的有力工具。获得参考线和重构图像的线性路径函数之间的完美匹配。与参考相比,重建的图像逐渐改善,从而增加了重建期间使用的LPF的数量。在不同方向上使用LPF不能在面包和重建图像之间获得完美的匹配,因为LPF没有包含足够的微观结构信息,但是,面包的基本特征被捕获,证明了重建食物微观结构的可能性。

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