Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Gianmarc Coppola"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 3, Pp 1244-1257 (2019)
The Hough transform has been widely used in image analysis and digital image processing due to its capability of transforming image space detection to parameter space accumulation. In this paper, we propose a novel Angle-Aided Circle Detection (AACD)
Externí odkaz:
https://doaj.org/article/e9c78f2559384506b1a35897e72c3e90
Publikováno v:
Sensors, Vol 16, Iss 1, p 70 (2016)
Multi-component force sensors have infiltrated a wide variety of automation products since the 1970s. However, one seldom finds full-component sensor systems available in the market for cutting force measurement in machine processes. In this paper, a
Externí odkaz:
https://doaj.org/article/9641b058bbfe442aa10b9fbaf53c920c
Publikováno v:
Computer Methods and Programs in Biomedicine. 178:289-301
Background and objective Efficient segmentation of skin lesion in dermoscopy images can improve the classification accuracy of skin diseases, which provides a powerful approach for the dermatologists in examining pigmented skin lesions. However, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e5c2a456f5372d867d7a263e9b5a380
https://doi.org/10.1016/j.cmpb.2019.07.005
https://doi.org/10.1016/j.cmpb.2019.07.005
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 57:303-314
Accurate, time-effective calibration and decoupling procedures of multi-axis Force/Moment (F/M) sensors are critical to the implementation of these sensors. Recently, many decoupling methods have been proposed by researchers, but the inherent couplin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b34578e1c02ddb63cd92647f6e031af1
https://doi.org/10.1016/j.rcim.2018.12.014
https://doi.org/10.1016/j.rcim.2018.12.014
Autor:
Wei Sun, Yang Nan, Yaonan Wang, Qiaokang Liang, Guanzhen Yu, Gianmarc Coppola, Kunglin Zou, Dan Zhang
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 23:1205-1214
Recent advances in deep learning have produced encouraging results for biomedical image segmentation; however, outcomes rely heavily on comprehensive annotation. In this paper, we propose a neural network architecture and a new algorithm, known as ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b92da89bae16e162b49a71e3d1ec12
https://doi.org/10.1109/jbhi.2018.2850040
https://doi.org/10.1109/jbhi.2018.2850040
Publikováno v:
Computers and Electronics in Agriculture. 157:518-529
The plant disease diagnosis and severity estimation are a very challenging research field in the agriculture sector. In this work, we present a robust image-based Plant Disease Diagnosis and Severity Estimation Network (PD2SE-Net), which contains a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dabee67f28ec22ce8b2de946bcbc7806
https://doi.org/10.1016/j.compag.2019.01.034
https://doi.org/10.1016/j.compag.2019.01.034
Publikováno v:
Mathematical Biosciences and Engineering. 16:1244-1257
The Hough transform has been widely used in image analysis and digital image processing due to its capability of transforming image space detection to parameter space accumulation. In this paper, we propose a novel Angle-Aided Circle Detection (AACD)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fa1bf8c82702f8aa2b4ce616cde981f
https://doi.org/10.3934/mbe.2019060
https://doi.org/10.3934/mbe.2019060
Publikováno v:
Robotics and Computer-Integrated Manufacturing. 49:301-308
Multi-axis robotic Force/Moment (F/M) sensors are capable of simultaneously detecting multiple components of force (Fx, Fy, and Fz), as well as the moments (Mx, My and Mz). This enables them to be frequently used in many robotic applications. Accurat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef35b94937c36d845e700c5adbdc9bd2
https://doi.org/10.1016/j.rcim.2017.08.008
https://doi.org/10.1016/j.rcim.2017.08.008
Publikováno v:
Computer methods and programs in biomedicine. 178
Background and objectives The multi-label Human Protein Atlas (HPA) classification can yield a better understanding of human diseases and help doctors to enhance the automatic analysis of biomedical images. The existing automatic protein recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::297391a20c5d09a9ac9b69c91397f7cb
https://pubmed.ncbi.nlm.nih.gov/31416555
https://pubmed.ncbi.nlm.nih.gov/31416555
Publikováno v:
International Journal of Computational Vision and Robotics. 11:299
Automatic detection of defects in recyclable beer bottles would reduce both the cost of the production process and the time spent in the quality inspection. A novel approach is proposed for automatic detection of defects occurring on the beer bottles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::171f62d355dc8c09b3351c5b3a5fd06a
https://doi.org/10.1504/ijcvr.2021.10036926
https://doi.org/10.1504/ijcvr.2021.10036926