您当前的位置:
首页 >
文章列表页 >
Fast recognition algorithm for salient objects in image vision based on machine vision
更新时间:2026-02-03
    • Fast recognition algorithm for salient objects in image vision based on machine vision

    • In the field of image visual salient object recognition, experts have introduced machine vision technology to enhance images using Fourier transform filtering, effectively improving recognition robustness and providing new solutions for solving noise interference problems.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 10, Pages: 3346-3351(2025)
    • 作者机构:

      1.广东海洋大学 计算机科学与工程学院,广东 阳江 529500

      2.辽宁工程技术大学 机械工程学院,辽宁 阜新 123000

    • DOI:10.13229/j.cnki.jdxbgxb.20240998    

      CLC: TP391.41
    • Received:12 September 2024

      Published:01 October 2025

    移动端阅览

  • ZHAO Nan-nan,DENG Chao,WEN Zi-cheng,et al.Fast recognition algorithm for salient objects in image vision based on machine vision[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(10):3346-3351. DOI: 10.13229/j.cnki.jdxbgxb.20240998.

  •  
  •  

0

Views

3

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Infrared and visible image fusion based on gradient transfer and auto-encoder
A mapping method using 3D orchard point cloud based on hawk-eye-inspired stereo vision and super resolution
Bridge weigh-in-motion combined with machine version
Flatness error measurement method based on line structured light vision
Sprocket size measurement method based on machine vision

Related Author

HAN Kai-xu
LI Yan-feng
YANG Hua-min
ZHANG Han-yue
WANG Ao-ying
MENG Jie-yu
SUN Hua-dong
HU Jia-ming

Related Institution

School of Electronics and Information Engineering,Beibu Gulf University
School of Artificial Intelligence, Changchun University of Science and Technology
School of Computer Science and Technology, Changchun University of Science and Technology
Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, MNR
College of Engineering, China Agricultural University
0