Computer and Modernization ›› 2009, Vol. 1 ›› Issue (10): 88-4.doi: 10.3969/j.issn.1006-2475.2009.10.025

• 图像处理 • Previous Articles     Next Articles

Application Research on Clustering Analysis in Unsupervised Image Classification

MENG Hai-dong1,HAO Yong-kuan2,WANG Shu-ling2   

  1. 1.School of Resource and Safety Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China; 2.School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-10-15 Published:2009-10-15

Abstract:

In order to improve the application effectiveness of clustering analysis in unsupervised image classification, Clustering Algorithm based on Density and adaptive Densityreachable (CADD), which is designed and applied to image classification. Compared with the classifying results of Kmeans and hierarchical method, it is evident that CADD has good effects in unsupervised image classification.

Key words: unsupervised classification, image classification, clustering algorithm