Zobrazeno 1 - 10
of 296
pro vyhledávání: '"geodesic distance transform"'
The FastGeodis package provides an efficient implementation for computing Geodesic and Euclidean distance transforms (or a mixture of both), targeting efficient utilisation of CPU and GPU hardware. In particular, it implements the paralellisable rast
Externí odkaz:
http://arxiv.org/abs/2208.00001
Publikováno v:
Journal of Engineering Research - Egypt, Vol 7, Iss 1, Pp 162-170 (2023)
X-ray angiography is considered the standard imaging sensory system for diagnosing coronary artery diseases. For automated, accurate diagnosis of such diseases, coronary vessels’ detection from the captured low quality and noisy angiography images
Externí odkaz:
https://doaj.org/article/0265423042704393b712d649ca770249
Akademický článek
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Publikováno v:
International Journal of Medical Engineering and Informatics. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::738d140637626a32320ab323ee832ddf
https://doi.org/10.1504/ijmei.2022.10050839
https://doi.org/10.1504/ijmei.2022.10050839
Publikováno v:
Image and Vision Computing. 28:307-316
In this paper, we present a new geodesic distance transform that uses a non-Euclidean metric suitable for non-convex discrete 2D domains. The geodesic metric used is defined as the shortest path length through a set of pixels called Locally Nearest H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::165fe42169da9f4770445380ba53e433
https://doi.org/10.1016/j.imavis.2009.05.013
https://doi.org/10.1016/j.imavis.2009.05.013
Geodesic distance transform-based salient region segmentation for automatic traffic sign recognition
Publikováno v:
Intelligent Vehicles Symposium
Visual-based traffic sign recognition (TSR) requires first detecting and then classifying signs from captured images. In such a cascade system, classification accuracy is often affected by the detection results. This paper proposes a method for extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eb24281d45d1f4fb26be802585954cd
https://doi.org/10.1109/ivs.2016.7535502
https://doi.org/10.1109/ivs.2016.7535502
Autor:
Chaniot Johan, Moreaud Maxime, Sorbier Loïc, Marquet Pierre, Becker Jean-Marie, Fournel Thierry
Publikováno v:
Science and Technology for Energy Transition, Vol 79, p 31 (2024)
This paper addresses the numerical characterization of microstructures by the concept of tortuosity. After a brief review of geometric tortuosities, some definitions are considered for a benchmarking analysis. The focus is on the M-tortuosity definit
Externí odkaz:
https://doaj.org/article/928c50accf06448da5464d7b420a7861
Conference
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Autor:
Yasushi Yagi, Junqiu Wang
Publikováno v:
Computer Vision – ACCV 2010 Workshops ISBN: 9783642228186
ACCV Workshops (2)
ACCV Workshops (2)
Image segmentation is able to provides elements for enhancing a physical real-world environment. Although many existing segmentation methods have achieved impressive performances, they face problems where multiple similar objects are in close proximi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83243de1d57930c7b25567cb65c79d0d
https://doi.org/10.1007/978-3-642-22819-3_8
https://doi.org/10.1007/978-3-642-22819-3_8
Autor:
Tuan Quang Pham
Publikováno v:
DICTA
This paper presents a parallel implementation of geodesic distance transform using OpenMP. We show how a sequential-based chamfer distance algorithm can be executed on parallel processing units with shared memory such as multiple cores on a modern CP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bd7f5771e7249e7a331046646d18a41
https://doi.org/10.1109/dicta.2013.6691508
https://doi.org/10.1109/dicta.2013.6691508