This paper presents a novel medical image retrieval approach based on local binary patterns combining with texture patterns statistic. Joint distribution between local binary patterns and local variance is computed and the measurement of Log-likelihood statistic distance is improved. Extesive simulations clearly show the superiority of the improved Log-likelihood statistic. Comparison with Gabor features using medical image dataset indicates that of Gabor features.