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Enhancing computer image recognition with improved image algorithms.

Authors :
Huang, Lanqing
Yao, Cheng
Zhang, Lingyan
Luo, Shijian
Ying, Fangtian
Ying, Weiqiang
Source :
Scientific Reports. 6/14/2024, Vol. 14 Issue 1, p1-11. 11p.
Publication Year :
2024

Abstract

Advances in computer image recognition have significantly impacted many industries, including healthcare, security and autonomous systems. This paper aims to explore the potential of improving image algorithms to enhance computer image recognition. Specifically, we will focus on regression methods as a means to improve the accuracy and efficiency of identifying images. In this study, we will analyze various regression techniques and their applications in computer image recognition, as well as the resulting performance improvements through detailed examples and data analysis. This paper deals with the problems related to visual image processing in outdoor unstructured environment. Finally, the heterogeneous patterns are converted into the same pattern, and the heterogeneous patterns are extracted from the fusion features of data modes. The simulation results show that the perception ability and recognition ability of outdoor image recognition in complex environment are improved. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Academic Search Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
177897989
Full Text :
https://doi.org/10.1038/s41598-024-64193-3