计算机应用与软件2024，Vol.41Issue(6)：263-272,10.DOI:10.3969/j.issn.1000-386x.2024.06.039
基于保真度加权判别协同竞争表示的鲁棒图像分类
ROBUST IMAGE CLASSIFICATION BASED ON FIDELITY WEIGHTED DISCRIMINANT CO-COMPETITIVE REPRESENTATION
摘要
Abstract
In order to deeply mine the information between categories and improve the robustness and accuracy of the method,a robust image classification method based on weighted discriminant cooperative competition representation is proposed.The discriminant and competition-collaboration representation between all classes was integrated in a unified model.Two discriminant constraints and the constraint of weighted class representation coefficient were introduced to further enhance the contribution rate of class to representation.Furthermore,a robust algorithm with fidelity was introduced to improve the robustness to noise.Experimental results on six sets of image data show that the proposed method has higher classification accuracy and robustness.关键词
图像分类/鲁棒性/协同表示/判别约束Key words
Image classification/Robustness/Collaborative representation/Discriminant constraints分类
信息技术与安全科学引用本文复制引用
邓永强,孙为军..基于保真度加权判别协同竞争表示的鲁棒图像分类[J].计算机应用与软件,2024,41(6):263-272,10.基金项目
国家重点研发计划项目(2018YFB1802400) （2018YFB1802400）
广东省重点领域研发计划项目(2019B010118001,2019B010121001). （2019B010118001,2019B010121001）
