Real-time detection system for polishing metal surface defects based on convolutional feature concentration and activation network-Reference-Cited by-同舟云学术

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Real-time detection system for polishing metal surface defects based on convolutional feature concentration and activation network

Published:2024-12 Issue: Volume:257 Page:125041
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lv Zhongliang^ORCID,Lu Zhenyu,Xia Kewen,Zhang Lie,Zuo Hailun,Xu Youwei,Liu Kang

Funder

Chongqing Municipal Health and Family Planning Commission

National Aerospace Science Foundation of China

Chongqing Research Program of Basic Research and Frontier Technology

Graduate Research and Innovation Projects of Jiangsu Province

Applied Basic Research Program of Sichuan Province

Project of Qingdao Leading Talents in Entrepreneurship and Innovation

Publisher

Elsevier BV

Reference37 articles.

1. Template matching techniques in computer vision: Theory and practice;Brunelli,2009

2. Monotone piecewise bicubic interpolation;Carlson;SIAM Journal on Numerical Analysis,1985

3. Refined edge detection with cascaded and high-resolution convolutional network;Elharrouss;Pattern Recognition,2023

4. Multi-spectral template matching based object detection in a few-shot learning manner;Feng;Information Sciences,2023

5. Guo, H., Ono, N., & Sagayama, S. (2008). A structure-synthesis image inpainting algorithm based on morphological erosion operation. In 2008 Congress on image and signal processing (pp. 530-535). http://dx.doi.org/10.1109/cisp.2008.149.

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