Zobrazeno 1 - 7
of 7
pro vyhledávání: '"F. H. She"'
Publikováno v:
DICTA
In this study, we focused on developing a novel 3D Thinning algorithm to extract one-voxel wide skeleton from various 3D objects aiming at preserving the topological information. The 3D Thinning algorithm was testified on computer-generated and real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37afea48d2c0b10f90e1b5aa945a7b9a
https://doi.org/10.1109/dicta.2009.13
https://doi.org/10.1109/dicta.2009.13
In filtration/separation applications, porous membranes separate particles by a sieving mechanism determined by pore size of membrane and particle size. However, since pores in the membranes have irregular shape and vary in size, the definition of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06ddbc8759a533b8a0bf434c0f9b1c93
https://hdl.handle.net/1959.8/71882
https://hdl.handle.net/1959.8/71882
Publikováno v:
Proceedings of SPIE.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94991bee51481666fdfa2223e2987929
https://doi.org/10.1117/12.695647
https://doi.org/10.1117/12.695647
Publikováno v:
SPIE Proceedings.
Fiber identification has been a very important task in many industries such as wool growing, textile processing, archaeology, histochernical engineering, and zoology. Over the years, animal fibers have been identified using physical and chemical appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b712574f535baf2159b1e354cceb6956
https://doi.org/10.1117/12.477055
https://doi.org/10.1117/12.477055
Autor:
F. H. She, Lingxue Kong
Publikováno v:
Image Matching and Analysis.
Image processing and pattern recognition have been successfully applied in many textile related areas. For example, they have been used in defect detection of cotton fibers and various fabrics. In this work, the application of image processing into a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::760e2e95709a0245d78dd47bf8f0dd7d
https://doi.org/10.1117/12.441547
https://doi.org/10.1117/12.441547
Akademický článek
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Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model.
Autor:
Wang J; Center for Intelligent Systems Research, Deakin University, Waurn Ponds 3217, Australia. jay.wangjin@gmail.com, Liu P, F H She M, Nahavandi S, Kouzani A
Publikováno v:
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2013 Sep; Vol. 111 (3), pp. 629-41. Date of Electronic Publication: 2013 Jul 08.