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Mathematical Morphology on MRI for the Determination of Iberian Ham Fat Content

机译:伊比利亚火腿脂肪含量MRI的数学形态

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Intermuscular Fat Content and its distribution during the ripening process of the Iberian ham is a relevant task from the point of view of technological interest. This paper attempts to study the Iberian ham during the ripening process with images obtained from a MRI (Magnetic Resonance Imaging) device using Pattern Recognition and Image Analysis algorithms, in particular Mathematical Morphology techniques. The main advantage of this method is the non-destructive nature. A concrete algorithm is proposed, which is based on the Watershed transformation. In addition, the results are compared with the Otsu thresholding algorithm. The decreases of the total volume in the ripening process are shown. Also the decrease of the meat percentage and intermuscular fat content are calculated. As a conclusion, the viability of these techniques is proved for the possible future utilization in the meat industries to discover new characteristics in the ripening process.
机译:伊比利亚火腿熟练过程中的胚胎脂肪含量及其分布是从技术兴趣的角度来看的相关任务。本文试图在升降过程中研究伊伯利亚火腿,利用使用模式识别和图像分析算法从MRI(磁共振成像)装置获得的图像,特别是数学形态学技术。这种方法的主要优点是非破坏性的性质。提出了一种基于流域变换的具体算法。此外,将结果与OTSU阈值算法进行比较。显示了成熟过程中总体积的降低。还计算了肉类百分比和胚胎含量的降低。总结,这些技术的可行性被证明是为了发现肉类产业可能的未来利用,以发现成熟过程中的新特征。

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