基于云模型相似度的图像分类方法研究

Research on image classification method based on cloud model similarity

云模型相似度方法是对象相似性分析的一种重要方法。为提高图像分类的准确性,提出一种基于云模型相似度的图像分类方法。首先给出图像云模型的定义,然后根据云模型方法的逆向云算法对图像云模型特征进行数字特征计算,最后引入云模型相似性测度方法对图像云模型相似性进行测算并确定图像分类。仿真结果表明,文章所提方法可准确地对图像进行分类,且计算效率较高。

Cloud model similarity method is an important method of object similarity analysis. To improve the accuracy of image classification, an image classification method based on the similarity of cloud model is proposed in this paper. Firstly, the image cloud model is defined. Secondly, the feature of the cloud model is calculated according to the reverse cloud algorithm. The cloud model similarity measure is used to calculate the similarity of image cloud model and determines the image classification. The simulation results show that the proposed method can classify the image accurately, and the algorithm has high computational efficiency.