[Retracted] Fusion Analysis of Chinese Painting Color Teaching and Intelligent Image Color Processing Technology

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">Landscape painting</td><td class="align_center">Flower and bird painting</td><td class="align_center">Figure painting</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Landscape painting</td><td class="align_center">0.79</td><td class="align_center">0.11</td><td class="align_center">0.10</td></tr><tr><td class="align_left">Flower and bird painting</td><td class="align_center">0.22</td><td class="align_center">0.75</td><td class="align_center">0.03</td></tr><tr><td class="align_left">Figure painting</td><td class="align_center">0.17</td><td class="align_center">0.14</td><td class="align_center">0.69</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance confusion matrix of Chinese painting image semantic classification based on the proposed algorithm.</div>

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tab7

Table 7

Table 7: [Retracted] Fusion Analysis of Chinese Painting Color Teaching and Intelligent Image Color Processing Technology 