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.