Image Recognition Based on Compressive Imaging and Optimal Feature Selection

Image Recognition Based on Compressive Imaging and Optimal Feature Selection

The measurement matrix in compressive imaging controls the crucial feature information for high performance recognition. In this study, a deterministic orthogonal measurement matrix design method using the discrete cosine transform and a compressive feature selection scheme are proposed to implement...

Full description

Bibliographic Details
Main Authors: Wenbin Jiao, Xuemin Cheng, Yao Hu, Qun Hao, Hongsheng Bi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Compressive imaging
feature selection
measurement matrix design
Online Access:https://ieeexplore.ieee.org/document/9723631/

Internet

https://ieeexplore.ieee.org/document/9723631/

Similar Items