In this paper

we analyze the principles of deterministic annealing technique and competitive learning algorithm for image coding

and present a new stochastic competitive learning vector quantization algorithm for image coding.It combines the procedure of competition with the minimization of cost function.Simulated annealing is used in learning procedure

and several new strategies are presented in the vector quantization for image coding.The algorithm can eliminate the effect of initial codebook selection on the quality of clustering

is not trapped in local minimum

has a good convergence rate

and can get the codebook with good performance.Computer simulation results confirm the effectiveness and robustness of the approach.