GLCM is a mathematical method that extracts the various quantitative parameters representing texture features of the images. Our hypothesis is that the texture analysis of prostate MRI can be an additional problem-solving tool in differentiating cancer and normal prostate tissue. The texture parameters of ROIs in prostate cancer, normal peripheral zone, and normal transitional zone in T2WI were extracted and compared statistically in 20 prostate cancer patients. The correlation, energy, and maximum probability in prostate cancer and peripheral zone are significantly different. The texture analysis can be used for the characterization and differentiation of prostate cancer and normal prostate tissue.