Design and Image Research of Tennis Line Examination Based on Machine Vision Analysis

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">The video sequence</td><td class="align_center">A field boundary detection algorithm based on the main color area (%)</td><td class="align_center">AOC-based pitch segmentation algorithm (%)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Tennis video 1</td><td class="align_center">84.21</td><td class="align_center">97.44</td></tr><tr><td class="align_left">Tennis video 2</td><td class="align_center">92.42</td><td class="align_center">98.34</td></tr><tr><td class="align_left">Tennis video 3</td><td class="align_center">89.53</td><td class="align_center">98.76</td></tr><tr><td class="align_left">Tennis video 4</td><td class="align_center">88.43</td><td class="align_center">97.65</td></tr><tr><td class="align_left">Tennis video 5</td><td class="align_center">89.51</td><td class="align_center">98.35</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>A comparison table of the accuracy of the identification method.</div>

Computational Intelligence and Neuroscience

tab2

Table 2

Table 2: Design and Image Research of Tennis Line Examination Based on Machine Vision Analysis 