Zobrazeno 1 - 10
of 476
pro vyhledávání: '"Lan DI"'
Publikováno v:
IET Image Processing, Vol 18, Iss 2, Pp 412-427 (2024)
Abstract This paper presents a textile defect detection method that utilizes a multi‐proportion spatial attention mechanism and channel memory feature fusion network by addressing the difficulties presented by complicated shapes and large size vari
Externí odkaz:
https://doaj.org/article/fc242a81c1e840408b7fadbe45b75056
Publikováno v:
Microbiology Research, Vol 14, Iss 1, Pp 229-242 (2023)
The increasing production of industrial aromatic plant residues (IAPRs) are potentially environmental risky, and composting is a promising solution to resolve the coming IAPR problems. Carbon source degradation is a basic but important field in compo
Externí odkaz:
https://doaj.org/article/3fe118cfe354492c97508f2f68b424ad
Publikováno v:
IET Image Processing, Vol 15, Iss 4, Pp 868-884 (2021)
Abstract Although Sparse Representation based Classifier (SRC), a non‐parametric model, can obtain an interesting result for pattern recognition , a reasonable interpretation has been lacked for its classification mechanism. What is more, the train
Externí odkaz:
https://doaj.org/article/a554c49fa42b41769ada64348d094e67
Publikováno v:
IET Image Processing, Vol 15, Iss 1, Pp 16-27 (2021)
Abstract The traditional face alignment approaches based on cascade regression have achieved satisfactory result on the frontal face, but for the face with large changes in posture and expression, a single initial shape will lead to the result fallin
Externí odkaz:
https://doaj.org/article/cf9cf7c772e94563b8b8d75a4cb18105
Publikováno v:
IEEE Access, Vol 7, Pp 130423-130437 (2019)
Low-rank decomposition model has been widely used in fabric defect detection, where a matrix is decomposed into a low-rank matrix representing the defect-free region (background) of the image and a sparse matrix identifying the defective region (fore
Externí odkaz:
https://doaj.org/article/cdbf54e8fc6a465b8cbdeb09cd133862
Publikováno v:
Sensors, Vol 20, Iss 18, p 5147 (2020)
Aiming at the influence of uneven illumination on fabric feature extraction and the limitations of traditional frequency-based visual saliency algorithms, we propose a fabric defect detection method based on the combination of illumination correction
Externí odkaz:
https://doaj.org/article/dab3fa91dd4044e19ed0177f54638804
Autor:
Lian, Yuanyuan, Lan, Di, Jiang, Xiaodan, Wang, Lin, Yan, Shu, Dong, Qingzhe, Jiang, Yan, Gu, Junwei, Gao, Zhenguo, Wu, Guanglei
Publikováno v:
In Journal of Colloid And Interface Science 15 December 2024 676:217-226
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 5 December 2024 702 Part 2
Autor:
Gai, Lixue, Zhao, Honghong, Li, Xueai, Wang, Pan, Yu, Shuping, Chen, Yongzheng, Wang, Chunsheng, Lan, Di, Han, Fei, Du, Yunchen
Publikováno v:
In Chemical Engineering Journal 1 December 2024 501
Publikováno v:
In Materials Today Nano December 2024 28