Maximum Entropy Threshold Segmentation for Target Matching Using Speeded-Up Robust Features

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="768519.fig.008a" src="https://static.hindawi.com/articles/jece/volume-2014/768519/figures/768519.fig.008a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>SIFT</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="768519.fig.008b" src="https://static.hindawi.com/articles/jece/volume-2014/768519/figures/768519.fig.008b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>SURF</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="768519.fig.008c" src="https://static.hindawi.com/articles/jece/volume-2014/768519/figures/768519.fig.008c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>Otsu based SIFT</td></tr></table></td></tr><tr class="fig-image" id="d"><td><img alt="768519.fig.008d" src="https://static.hindawi.com/articles/jece/volume-2014/768519/figures/768519.fig.008d.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(d) </b>Otsu based SURF</td></tr></table></td></tr><tr class="fig-image" id="e"><td><img alt="768519.fig.008e" src="https://static.hindawi.com/articles/jece/volume-2014/768519/figures/768519.fig.008e.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(e) </b>2DMETS based SIFT</td></tr></table></td></tr><tr class="fig-image" id="f"><td><img alt="768519.fig.008f" src="https://static.hindawi.com/articles/jece/volume-2014/768519/figures/768519.fig.008f.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(f) </b>2DMETS based SURF</td></tr></table></td></tr></table>

<table>Target matching for images in group 3.</table>

Journal of Electrical and Computer Engineering

fig8

Figure 8

Figure 8: Maximum Entropy Threshold Segmentation for Target Matching Using Speeded-Up Robust Features 