Image retrieval and authentication using enhanced expectation maximization (EEM)

摘要: Technologies are generally presented for employing enhanced expectation maximization (EEM) in image retrieval and authentication. Using uniform distribution as initial condition, the EEM may converge iteratively to a global optimality. If realization of is used process also be repeatable. In some examples, positive perturbation scheme avoid boundary overflow, often occurring with conventional EM algorithms. To reduce computation time resource consumption, histogram one dimensional Gaussian Mixture Model (GMM) two components wavelet decomposition an employed.