Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2006, Vol. 29 ›› Issue (4): 33-35.doi: 10.13190/jbupt.200604.33.lihs

• Papers • Previous Articles     Next Articles

A New Initial Codebook Algorithm of Learning Vector Quantization

LI Hong-song, LIU Hong-wei   

  1. College of Information Science and Technology, Beijing Normal University, Beijing 100875,China
  • Received:2005-04-01 Revised:1900-01-01 Online:2006-08-30 Published:2006-08-30
  • Contact: LI Hong-song

Abstract:

In vector quantization(VQ),the initial codebook design is very important for VQ codebook performances. To overcome disadvantages of existing initial codebook algorithms, a new separating mean algorithm for learning vector quantization(LVQ)based upon self-organizing feature maps(SOM) was proposed. Experimental results for image VQ show that new initial codebook algorithm is better than random and splitting algorithm.

Key words: learning vector quantization, self-organizing feature maps, image coding

CLC Number: