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

<div>(a) to (c) display the segmentation results of MR image (slice 42 of IBSR2) using FAST-TLE, CLO-TLE, and GGMM-TLE, respectively. The trimming fractions from left to right are 0.1, 0.2, 0.3, 0.4, and 0.5.</div>

Mathematical Problems in Engineering

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Figure 5: Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions 

Figure 5 | Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions 