Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/5892051/figures/5892051.fig.003a.svgz" name="5892051.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Ends-in search stretching</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/5892051/figures/5892051.fig.003b.svgz" name="5892051.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Average binarization</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/5892051/figures/5892051.fig.003c.svgz" name="5892051.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Removing noises and unnecessary holes</td></tr></table>

<div>Extracting Deep Cervical Flexor candidate.</div>

Computational and Mathematical Methods in Medicine

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Figure 3

Figure 3: Computer Vision Based Automatic Extraction and Thickness Measurement of Deep Cervical Flexor from Ultrasonic Images 