A Multiobjective Piglet Image Segmentation Method Based on an Improved Noninteractive GrabCut Algorithm

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/am/volume-2018/1083876/figures/1083876.fig.004a.svgz" name="1083876.fig.004a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Contour</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/am/volume-2018/1083876/figures/1083876.fig.004b.svgz" name="1083876.fig.004b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Ellipse fitting</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/am/volume-2018/1083876/figures/1083876.fig.004c.svgz" name="1083876.fig.004c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Central moment and distance</td></tr></table>

<div>Results of the piglet ellipse fitting contour.</div>

Advances in Multimedia

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Figure 4

Figure 4: A Multiobjective Piglet Image Segmentation Method Based on an Improved Noninteractive GrabCut Algorithm 