Advanced EM algorithm based on Gaussian mixture model

In order to solve the disadvantages of traditional expectation maximization (EM) algorithm which lacks parameters optimization and needs human operation when estimating parameters, an improved EM algorithm based on Gaussian mixture model was proposed. The unsupervised theory was used to calculate optimal Gaussian mixture model parameters. The subjective and objective indices of experiments show that the algorithm can not only estimate parameters quickly but also figure out the optimal parameters, making the detail more obvious and the contrast more moderate in image enhancement application.