Image feature extraction method based on complex values

The invention discloses an image feature extraction method based on a complex value, and belongs to the field of image feature extraction. In order to enable image features to be more expressive and solve the problem that the current image feature extraction is incomplete, the method comprises the following steps: constructing a neural network complex value layer based on a plurality of images; constructing a plurality of modules for feature extraction by utilizing the replication layer; and combining the plurality of modules, and performing image feature extraction by using the combined modules. On the basis of the existing neural network structure, the image feature representation effect is greatly improved by introducing a plurality of data expressions. 本发明公开了一种基于复值的图像特征提取方法，属于图像特征提取领域。为了使图像特征更具表现力，解决目前图像特征提取不够完善的问题，本发明包括：基于复数构建神经网络复值层；利用所述复制层构建用于特征提取的多个模块；将所述多个模块进行结合，利用结合后的模块进行图像特征提取。本发明基于现有神经网络结构，通过将复数引入数据表达，极大地提高了图像特征表示效果。