Improved Crack Detection and Recognition Based on Convolutional Neural Network

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">SVM</td><td class="align_center">Boosting</td><td class="align_left">ConvNets</td><td class="align_center">Adam</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Precision</td><td class="align_center">0.8112</td><td class="align_center">0.736</td><td class="align_center">0.8696</td><td class="align_center">0.9971</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance comparison of different methods.</div>

Modelling and Simulation in Engineering

tab2

Table 2

Table 2: Improved Crack Detection and Recognition Based on Convolutional Neural Network 