Application of Bidimensional Empirical Mode Decomposition to Medical Liquid Opacity Detection

Jian Wan, Yuanda Diao, Dongyang Yan, Qiang Guo, Z. Qu
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Abstract

A Robert operator edge detection algorithm based on Bidimensional Empirical Mode Decomposition (BEMD) to detect medical liquid opacity is proposed. This method can effectively resolve the problem that traditional Robert operator edge detection can be easily effected by noise, and it also has certain effects on restraining external environment influence. The simulation results show that, compare with traditional medical liquid opacity detection methods, the proposed method could achieve higher detection accuracy, and has a certain theory and application value.
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二维经验模态分解在医用液体不透明度检测中的应用
提出了一种基于二维经验模态分解(BEMD)的Robert算子边缘检测算法来检测医用液体的不透明度。该方法有效地解决了传统Robert算子边缘检测容易受到噪声影响的问题,对抑制外界环境的影响也有一定的效果。仿真结果表明,与传统的医用液体不透明度检测方法相比,所提出的方法可以达到更高的检测精度,具有一定的理论和应用价值。
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