Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Manhuai Lu"'
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0302234 (2024)
It is challenging to detect arbitrary-shape text accurately and effectively in natural scenes. While many methods have been implemented for arbitrary-shape text detection, most cannot achieve real-time detection or meet practical needs. In this work,
Externí odkaz:
https://doaj.org/article/138b33f0cccc4a24874cc734574fcf6d
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12120 (2022)
The street sign text information from natural scenes usually exists in a complex background environment and is affected by natural light and artificial light. However, most of the current text detection algorithms do not effectively reduce the influe
Externí odkaz:
https://doaj.org/article/b34a2ba7519d4b05ad25541df9356017
Autor:
Manhuai Lu, Yuanxiang Mou
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
The postproduction defect classification and detection of bearings still relies on manual detection, which is time-consuming and tedious. To address this, we propose a bearing defect classification network based on an autoencoder to enhance the effic
Externí odkaz:
https://doaj.org/article/3b3f7c4292644de783c7e9dac668f95c
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5962 (2021)
Text detection in natural scenes is a current research hotspot. The Efficient and Accurate Scene Text (EAST) detector model has fast detection speed and good performance but is ineffective in detecting long text regions owing to its small receptive f
Externí odkaz:
https://doaj.org/article/44389932d6a64a24a3a7fe0ed4b8c0e5
Autor:
Manhuai Lu, Chin-Ling Chen
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1825 (2021)
Surface defects on bearings can directly affect the service life and reduce the performance of equipment. At present, the detection of bearing surface defects is mostly done manually, which is labor-intensive and results in poor stability. To improve
Externí odkaz:
https://doaj.org/article/a0b54d525b154b5b84abf1fb67227a0e
Autor:
Manhuai Lu, Liqin Chen
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
The accuracy of object detection based on kitchen appliance scene images can suffer severely from external disturbances such as various levels of specular reflection, uneven lighting, and spurious lighting, as well as internal scene-related disturban
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc86d631a99f305009c43fada6b685e8
Autor:
Yuanxiang Mou, Manhuai Lu
Publikováno v:
Advances in Civil Engineering, Vol 2020 (2020)
The postproduction defect classification and detection of bearings still relies on manual detection, which is time-consuming and tedious. To address this, we propose a bearing defect classification network based on an autoencoder to enhance the effic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfeb8170f3dd5a31352a564637b49d24
Publikováno v:
Applied Sciences
Volume 11
Issue 13
Applied Sciences, Vol 11, Iss 5962, p 5962 (2021)
Volume 11
Issue 13
Applied Sciences, Vol 11, Iss 5962, p 5962 (2021)
Text detection in natural scenes is a current research hotspot. The Efficient and Accurate Scene Text (EAST) detector model has fast detection speed and good performance but is ineffective in detecting long text regions owing to its small receptive f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f832aec91b178069c3bd8c0a8962195f
https://doi.org/10.3390/app11135962
https://doi.org/10.3390/app11135962