Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions

<div>Average MCR for different methods on two test images under noisy environment (Berkeley Dataset). ((a) and (b)) Test image 24063; ((c) and (d)) test image 35010.</div>

Mathematical Problems in Engineering

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Figure 9: Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions 

Figure 9 | Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions 