Title :
Classification for Trademark Image Based on Normal Cloud Model
Author_Institution :
Comput. Dept., Beijing Inst. of Graphic Commun., Beijing, China
Abstract :
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.
Keywords :
data mining; image classification; visual databases; image data mining; normal cloud model; trademark image classification; uncertainty transformation model; Character generation; Classification algorithms; Clouds; Data mining; Entropy; Gaussian distribution; Helium; Random number generation; Rough sets; Trademarks; classification algorithm; data mining; the cloud model; trademark image retrival;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.328
