Detection of Microdefects in Fabric with Multifarious Patterns and Colors Using Deep Convolutional Neural Network

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Fabric defect</td><td class="align_center">ACC (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Dirty marks</td><td class="align_center">91.8</td></tr><tr><td class="align_left">Clip mark</td><td class="align_center">93.6</td></tr><tr><td class="align_left">Broken yam</td><td class="align_center">98.9</td></tr><tr><td class="align_left">Defect-free</td><td class="align_center">98.4</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Misclassification rate for each fabric defect.</div>

Advances in Polymer Technology

tab7

Table 7

Table 7: Detection of Microdefects in Fabric with Multifarious Patterns and Colors Using Deep Convolutional Neural Network 