Improvement and Research of Symmetry Quantization Algorithm for Abstract Black and White Images

Renjie Dai1, Xiaojun Liu1,*1Southeast University, Moling Street, Jiangning District,Nanjing, ChinaAbstractTo scientifically quantify the overall symmetry of the image and assist the designer in design, the objectivity and accuracy of the algorithm for quantifying symmetry proposed by Michael Bauerly are verified through experiments, and the algorithm proposed by Michael Bauerly is improved and verified with reference to the beauty calculation formula proposed by Ngo and others. It is verified that the improved algorithm can make the value obtained from the quantized image symmetry more consistent with the judgment of human eyes, which is helpful to assist designers in the design.