Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left">Crack number</td><td class="align_center">Average width of quantitatively calculation (mm)</td><td class="align_center">Overall length of quantitatively calculation (mm)</td><td class="align_center">Area of quantitatively calculation (mm<sup>2</sup>)</td><td class="align_center">Average width of crack gauge measurement (mm)</td><td class="align_center">Overall length of crack gauge measurement (mm)</td><td class="align_center">Area of crack gauge measurement (mm<sup>2</sup>)</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Crack 1</td><td class="align_center">0.97</td><td class="align_center">250.53</td><td class="align_center">264.33</td><td class="align_center">1.00</td><td class="align_center">251.20</td><td class="align_center">261.52</td></tr><tr><td class="align_left">Crack 2</td><td class="align_center">1.00</td><td class="align_center">290.64</td><td class="align_center">273.99</td><td class="align_center">0.98</td><td class="align_center">288.42</td><td class="align_center">270.26</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Actual size comparison results of cracks 1 and 2.</div>

Complexity

tab2

Table 2

Table 2: Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning 