Sample Training Based Wildfire Segmentation by 2D Histogram <svg style="vertical-align:-0.216pt;width:11.2875px;" id="M1" height="16.35" version="1.1" viewBox="0 0 11.2875 16.35" width="11.2875" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg"><g transform="matrix(.022,-0,0,-.022,.062,16.025)"><path id="x1D703" d="M475 507q0 -83 -20 -172t-56 -167.5t-93.5 -129t-125.5 -50.5q-157 0 -157 227q0 78 21.5 164t59 161t96.5 123.5t126 48.5q79 0 114 -58t35 -147zM391 522q0 155 -81 155q-62 0 -111 -82.5t-73 -200.5h253q12 81 12 128zM373 346h-255q-12 -91 -12 -150q0 -72 20 -123
t63 -51q34 0 64 28.5t52.5 77t39 103t28.5 115.5z" /></g></svg>-Division with Minimum Error

<table>Sample pixels used for GMM training.</table>

The Scientific World Journal

fig6

Figure 6

Figure 6: Sample Training Based Wildfire Segmentation by 2D Histogram <svg style="vertical-align:-0.216pt;width:11.2875px;" id="M1" height="16.35" version="1.1" viewBox="0 0 11.2875 16.35" width="11.2875" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg"><g transform="matrix(.022,-0,0,-.022,.062,16.025)"><path id="x1D703" d="M475 507q0 -83 -20 -172t-56 -167.5t-93.5 -129t-125.5 -50.5q-157 0 -157 227q0 78 21.5 164t59 161t96.5 123.5t126 48.5q79 0 114 -58t35 -147zM391 522q0 155 -81 155q-62 0 -111 -82.5t-73 -200.5h253q12 81 12 128zM373 346h-255q-12 -91 -12 -150q0 -72 20 -123
t63 -51q34 0 64 28.5t52.5 77t39 103t28.5 115.5z" /></g></svg>-Division with Minimum Error 

The Scientific World Journal

Sample Training Based Wildfire Segmentation by 2D Histogram -Division with Minimum Error

Figure 6