Inverse neighbor linear discriminant analysis method and device based on characteristic spectrum regularization

• Main Authors: XIE MING, DU JIAO, YAN GUOFENG, TAN HENGLIANG, FENG JIANWEI, YANG SHUO, LI WANGWANG
• Format: Patent
• Language: Chinese; English
• Published: 26.05.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

The invention discloses an inverse neighbor linear discriminant analysis method and device based on characteristic spectrum regularization, and the method comprises the steps: obtaining a classified training image set; calculating an intra-neighbor divergence matrix according to the training image set, and performing eigendecomposition on the intra-neighbor divergence matrix to obtain eigenvectors and eigenvalues; regularizing the feature value of the adjacent internal divergence matrix to form a plurality of weighting functions, selecting one of the weighting functions to perform weighting processing on the feature vector to obtain a weighted feature vector, and using the weighted feature vector to project the pixel value of each image in the training image set to obtain a new image feature; and calculating an overall divergence matrix according to the new training image set features. A characteristic spectrum regularization technology is added on the basis of an inverse neighbor linear discriminant analysis