Image modeling and semantic object segmentation based on finite mixture model
Liang Feng · Journal of Circuits and Systems · 2009
A novel scheme for automatic image modeling and semantic image segmentation based on finite mixture model(FMM) is proposed. The classical watershed algorithm is firstly employed to implement pre-segmentation and its results are used to initialize model parameters. Then,to overcome the drawbacks of traditional EM algorithm,its classified results are further implemented automatic merging and splitting to achieve optimal number of categories and escape local extrema. Experiments are conducted and the results reveal that the proposed scheme can achieve accurate and perceptually consistent segmentation results.