Classification for Trademark Image Based on Normal Cloud Model

Classification is an important research topic in the field of image data mining. There have been many data classification methods studied, including decision-tree method, statistical methods, neural networks, rough sets, etc. This paper proposed a method to classify the image with normal cloud model which is an uncertainty transformation model between quantities and qualities conception. We develop the algorithm for classification based on normal cloud model. Finally we perform experiments on an artificial trademark image database. The results show the advantages of the cloud model in the process of classification.