%0 Journal Article
%T 基于PDEs的图像特征提取方法<br>An image feature extraction method based on PDEs
%A 江珊珊
%A 杨静
%A 范丽亚&lt
%A br&gt
%A JIANG Shanshan
%A YANG Jing
%A FAN Liya
%J 山东大学学报（工学版）
%D 2018
%R 10.6040/j.issn.1672-3961.0.2018.072
%X 摘要： 针对提取图像判别信息的基于偏微分方程(partial differential equations, PDEs)的方法做了进一步研究。研究进化次数对图像特征质量的影响和压缩函数的压缩速度对图像特征质量的影响。试验结果表明:PDEs的进化可以降低遮挡的影响以及对光暗具有鲁棒性,但PDEs的进化次数以及压缩函数和压缩速度严重影响图像特征质量。<br>Abstract: Further research was conducted on image feature extraction method based on partial differential equations(PDEs). The effect of evolution times on quality of feature, and the reflection of compression function on the quality of feature were studied. Experiment results indicated that the evolution of PDEs could reduce the impact of occlusion and be robust to dark light, but the qualities of the image features could be seriously affected by evolution times of PDEs and compression function and compression speed
%K 偏微分方程
%K 压缩函数
%K 图像特征
%K 遮挡
%K 进化次数
%K &lt
%K br&gt
%K partial differential equation
%K occlusion
%K compression functions
%K evolution time
%K image feature
%U http://gxbwk.njournal.sdu.edu.cn/CN/10.6040/j.issn.1672-3961.0.2018.072