模糊数学在铁谱图像识别中的应用

Application of Fuzzy Mathematics in Ferrographic Image Recognition

将模糊数学的判别方法应用到模式识别中去,对铁谱图像进行智能识别。其方法就是通过将各磨粒的特征向量与典型磨粒的特征向量进行分类,利用模糊数学中的择近原则进行模式识别,从而判断磨粒类型。实验结果表明模糊数学在模式识别领域的应用有一定的实际价值。

Ferrographic image recognition based on fuzzy mathematics is described. This method is to judge particulate types by classifying characteristic vector quantity of various particulates with the characteristic vector quantity of the typical particulates, and utilizing near-selection principles in fuzzy mathematics for the pattern-recognition. Numerical experiments show that fuzzy mathematics has better efficiency in ferrographic image recognition.