A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation - Fig 10

<p>DC values for: (a) GM segmentation, (b) WM segmentation, (c) CSF segmentation, (d) CCR values over the entire images obtained by applying six segmentation algorithms to simulated brain MR images with increasing noise levels.</p

Illustration of three simulated T1-weighted brain MR images with 9% noise and corresponding segmentation results obtained by each algorithm.

<p>In each subfigure, the images from left to right show: original image, segmentation results obtained by SCGM-EM, FRSCGMM, BAMM, BGGMM, GRFCM, proposed algorithm, and ground truth.</p

Illustration of three rough regions.

<p>Illustration of three rough regions.</p

Examples of testing images.

<p>From left to right: synthetic image, simulated T1-weighted brain MR, real T1-weighted brain MR and natural images.</p

PRI values of image segmentation results on Berkeley’s color image dataset.

<p>PRI values of image segmentation results on Berkeley’s color image dataset.</p

Example of tissue surfaces for case IBSR12.

<p>(a) and (h) show ground truth of GM and WM surfaces, respectively. (b) to (g) show GM surface obtained by SCGM-EM, FRSCGMM, BAMM, BGGMM, GRFCM, and the proposed method, respectively. (i) to (n) show the WM surface obtained by SCGM-EM, FRSCGMM, BAMM, BGGMM, GRFCM, and the proposed method, respectively.</p

An example of spatial filters that considers four directions.

<p>From left to right: horizontal, vertical and two diagonal directions.</p

Statistics of DC values (mean, standard deviation (STD) and p-value) obtained by applying six algorithms to 18 cases from the IBSR v2.0 dataset.

<p>Statistics of DC values (mean, standard deviation (STD) and p-value) obtained by applying six algorithms to 18 cases from the IBSR v2.0 dataset.</p

DC values of each tissue for the segmentations shown in Fig 9.

<p>DC values of each tissue for the segmentations shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0168449#pone.0168449.g009" target="_blank">Fig 9</a>.</p

Illustrations of proposed algorithm.

<p>Illustrations of proposed algorithm.</p