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

<div>Comparison of likelihood values for the different test images with trimming faction 0.2. (a) Test image “Boat,” (b) test image “Cow,” (c) test image “House,” and (d) test image “Man.”</div>

Mathematical Problems in Engineering

fig3

Figure 3

Figure 3: Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions 

Figure 3 | Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions 