抑制成像数据噪声的模糊多目标算法

以模糊数学和决策理论为基础,通过建立成像数据模糊指数函数及平方误差 模糊指数函数,提出了一种称为模糊多目标优化的新的算法模型,对成像数据的噪声进行抑 制实现数据优化。实验结果表明,所提出的模糊多目标优化算法模型有较强的抑制噪声能 力,理论和实验有较好的一致性。

Fuzzy Multicriterion Optimization Algorithm for Reduced Noise in Imaging Data

In this paper, the author develops a new algorithm model named Fuzzy Multicriterion Optimization Algorithm Model ( FMOAM) for reduced noise and optimizing imaging data. The model is structured based on the theories of fuzzy mathematics and decision - making via the method of deducing imaging data fuzzy exponent function and square error fuzzy exponent function. The expenment results indicate that the FMOAM in this paper has better consistency with the theory and expenment as well as obvious advantage of antinoise ability.