Double Gaussian mixture model for image segmentation with spatial relationships ?
The form of the proposed model is very simple and it is easy to implement. There are fewer parameters in the proposed model than in many models based on MRF. A new representation of the contextual mixture proportions is presented. The representation of contextual mixture proportion reduces the computational cost of the model.
gaussian mixture model image segmentation spatial relationships markov random model expectation maximization (em) algorithm gradient descent synthetic noisy grayscale images real-world color images