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of 322
pro vyhledávání: '"Bandelet"'
Medical Image Segmentation based on Fully Convolutional Network and Minimizing Energy Between Curves
Autor:
Hong Tuyet, Vo Thi, Thanh Binh, Nguyen
Publikováno v:
TEM Journal. 9(4):1348-1356
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=913598
Publikováno v:
European Journal of Remote Sensing, Vol 53, Iss S1, Pp 73-81 (2020)
Polarimetric Synthetic Aperture Radar (PolSAR) imaging extended SAR applications by exploring the polarimetric properties of the target scatterers. Similar to SAR images, PolSAR images are prone to multiplicative speckle noise due to its coherent ima
Externí odkaz:
https://doaj.org/article/4bf1f9a75bc44d4bb563a07d19a18a7f
Publikováno v:
Entropy, Vol 17, Iss 6, Pp 3552-3580 (2015)
One of the major requirements of content based image retrieval (CBIR) systems is to ensure meaningful image retrieval against query images. The performance of these systems is severely degraded by the inclusion of image content which does not contain
Externí odkaz:
https://doaj.org/article/a37de6698f8c4bc0b3c0e94b2a153f06
Publikováno v:
Ingeniare: Revista Chilena de Ingeniería, Vol 20, Iss 2, Pp 211-219 (2012)
This paper presents the design and implementation of a compression system for grayscale images based on the Bandelet transform. The basis functions of the Bandelet transform are constructed as a set of vectors that indicate the directions in which th
Externí odkaz:
https://doaj.org/article/b665ae96d55842a7806fe388695ab2ea
Publikováno v:
法政大学大学院紀要. 理工学・工学研究科編. 62:1-6
Optical coherence tomography (OCT) is a diagnostic imaging system for ophthalmologic applications. Making use of interferometry, the OCT system provides high resolution images, from which retinal layers are extracted for ophthalmologic diagnostics. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::c456c7f925472fbc72d79c63cbbb69c3
http://hdl.handle.net/10114/00023972
http://hdl.handle.net/10114/00023972
Akademický článek
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Publikováno v:
European Journal of Remote Sensing, Vol 53, Iss S1, Pp 73-81 (2020)
Polarimetric Synthetic Aperture Radar (PolSAR) imaging extended SAR applications by exploring the polarimetric properties of the target scatterers. Similar to SAR images, PolSAR images are prone to multiplicative speckle noise due to its coherent ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64c238d957d938a06256ec6a26a0ba83
https://doi.org/10.1080/22797254.2019.1694848
https://doi.org/10.1080/22797254.2019.1694848
Medical Image Segmentation based on Fully Convolutional Network and Minimizing Energy Between Curves
Autor:
Vo Thi Hong Tuyet, Nguyen Thanh Binh
Publikováno v:
TEM Journal, Vol 9, Iss 4, Pp 1348-1356 (2020)
Energy between curves of image has useful for object contour. The edge map is an important task for recognition. The shape that is found by linking between edges will clearly present the useful information of objects. The aim of medical image segment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bccb4e0d817dde994716c20a8daca4e5
https://doi.org/10.18421/tem94-05
https://doi.org/10.18421/tem94-05
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 11:5677-5690
Polarimetric synthetic aperture radar (PolSAR) imaging opened up a new era in remote sensing by exploiting the advantages of electromagnetic signals over optical signals. Much hype and hope exists over optical imaging due to its all weather imaging c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffc1f8faa18d73f3d05518ee55e8a924
https://doi.org/10.1007/s12652-020-01929-9
https://doi.org/10.1007/s12652-020-01929-9
Publikováno v:
Electronics Letters. 56:293-296
Efficient speckle filtering algorithms are required for the effective use of polarimetric synthetic aperture radar (SAR) technology in remote sensing and surveillance applications. Nevertheless many techniques have been proposed over the past two dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42cd8f3dd48c7b64b2de858fb8a8403a
https://doi.org/10.1049/el.2019.2983
https://doi.org/10.1049/el.2019.2983