Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marios Vlachos"'
Autor:
Marios Vlachos, Lampros Pavlopoulos, Anastasios Georgakopoulos, Georgios Tsimiklis, Angelos Amditis
Publikováno v:
Sensors, Vol 24, Iss 11, p 3317 (2024)
The adoption of the Internet of Things (IoT) in the mining industry can dramatically enhance the safety of workers while simultaneously decreasing monitoring costs. By implementing an IoT solution consisting of a number of interconnected smart device
Externí odkaz:
https://doaj.org/article/986a6074aec747098c2d427cdbad9fdb
Autor:
Alessandro Pracucci, Laura Vandi, Francesco Belletti, Amanda Ramos Aragão Melo, Marios Vlachos, Angelos Amditis, Maria Teresa Calcagni, David Seixas Esteves
Publikováno v:
Energies, Vol 17, Iss 7, p 1789 (2024)
This paper presents a study about the integration of Piezoelectric Energy Harvesting Systems (PE-EHSs) into building envelopes for powering Fiber Bragg Grating (FBG) sensors, enabling efficient and low-consumption monitoring with the objective of lev
Externí odkaz:
https://doaj.org/article/85ee00b60420495fbc55b41b7223af6d
Autor:
Evangelos Dermatas, Marios Vlachos
Publikováno v:
Pattern Analysis and Applications. 18:901-919
In this paper, an algorithm for robust finger vessel pattern extraction from infrared images is presented based on image processing, edge suppression, fuzzy enhancement, and fuzzy clustering. Initially, the brightness variations of the images are eli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1265a23729dc3d093b00008081c5619a
https://doi.org/10.1007/s10044-014-0413-7
https://doi.org/10.1007/s10044-014-0413-7
Autor:
Evangelos Dermatas, Marios Vlachos
Publikováno v:
Biomedical Engineering Research. :1-15
In this paper a method for finger vein pattern extraction from infrared images of human finger is proposed. The finger vein pattern is extracted by the execution of a two-step region growing procedure, based on statistical properties of derivatives o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a073873ccc277714b733ff027ebb5a5
https://doi.org/10.5963/ber0201001
https://doi.org/10.5963/ber0201001
Autor:
Evangelos Dermatas, Marios Vlachos
Publikováno v:
Computerized Medical Imaging and Graphics. 36:501-513
In this paper, a fully automatic blind retrospective shading correction method based mainly on a minimization of a multi-objective criterion is presented. The proposed method assumes that the acquired image has distorted from a multiplicative and an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::737ad983a016648b07ad05cf91642753
https://doi.org/10.1016/j.compmedimag.2012.04.002
https://doi.org/10.1016/j.compmedimag.2012.04.002
Autor:
Marios Vlachos, Evangelos Dermatas
Publikováno v:
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Vol 2015 (2015)
Computational and Mathematical Methods in Medicine, Vol 2015 (2015)
A novel method for finger vein pattern extraction from infrared images is presented. This method involves four steps: preprocessing which performs local normalization of the image intensity, image enhancement, image segmentation, and finally postproc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d248db45f32a58b350c8aa67449ba1f
http://europepmc.org/articles/PMC4450289
http://europepmc.org/articles/PMC4450289
Autor:
Evangelos Dermatas, Marios Vlachos
Publikováno v:
Journal of Biomedical Graphics and Computing. 3
The correction of non-uniform illumination and the elimination of shading artifacts is an important preprocessing task used in a great number of image processing applications such as segmentation, registration or quantitative analysis. Although, a ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45d79db029ae3c1509293d154318d6b
https://doi.org/10.5430/jbgc.v3n1p6
https://doi.org/10.5430/jbgc.v3n1p6
Autor:
Evangelos Dermatas, Marios Vlachos
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 34(3)
In this paper an algorithm for vessel segmentation and network extraction in retinal images is proposed. A new multi-scale line-tracking procedure is starting from a small group of pixels, derived from a brightness selection rule, and terminates when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5a7ee873c4ceb8764111e23056d4b4d
https://pubmed.ncbi.nlm.nih.gov/19892522
https://pubmed.ncbi.nlm.nih.gov/19892522