Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Keyvan Kasiri"'
Publikováno v:
Journal of Medical Signals and Sensors, Vol 3, Iss 4, Pp 232-243 (2013)
In this paper, we present a new semi-automatic brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (LS-SVM). The method consists of thr
Externí odkaz:
https://doaj.org/article/a86dadd897ca44cda18466cf1d5415b3
Publikováno v:
Journal of Computational Vision and Imaging Systems. 3
With the progress in intelligent transportation systems in smartcities, vision-based vehicle detection is becoming an important issuein the vision-based surveillance systems. With the advent ofthe big data era, deep learning methods have been increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cf5895cda6eaf3a5ee110fc68f526ae
https://doi.org/10.15353/vsnl.v3i1.181
https://doi.org/10.15353/vsnl.v3i1.181
Publikováno v:
SMC
With the growing number of automated welding systems present throughout manufacturing, achieving high precision is naturally a key objective. The alignment of weld tip to weld seam, particularly in very long welds (such as in pipes), is a technical c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d63b41cdc5c4692dcafd5e58e79ce8da
https://doi.org/10.1109/smc.2017.8122572
https://doi.org/10.1109/smc.2017.8122572
Publikováno v:
Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2019, 231, pp.111275. ⟨10.1016/j.rse.2019.111275⟩
Remote Sensing of Environment, Elsevier, 2019, 231, pp.111275. ⟨10.1016/j.rse.2019.111275⟩
International audience; Snow depth estimation derived from high-resolution digital elevation models (DEMs) can lead to improved understanding of the spatially highly heterogeneous nature of snow distribution, as well as help us improve our knowledge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5579758e364285329a26fb22830f26e9
https://doi.org/10.1016/j.rse.2019.111275
https://doi.org/10.1016/j.rse.2019.111275
Publikováno v:
Wireless Personal Communications. 75:103-118
In this paper a companding-based scheme is proposed to reduce the Peak-to-average power ratio (PAPR) of an orthogonal frequency division multiplexing system. At the transmitter side, a compressing polynomial function is appended to the inverse discre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b2c961cbc8110e107fc06345f81ede5
https://doi.org/10.1007/s11277-013-1350-2
https://doi.org/10.1007/s11277-013-1350-2
Publikováno v:
Journal of Medical Signals and Sensors
Journal of Medical Signals and Sensors, Vol 3, Iss 4, Pp 232-243 (2013)
Scopus-Elsevier
Journal of Medical Signals and Sensors, Vol 3, Iss 4, Pp 232-243 (2013)
Scopus-Elsevier
In this paper, we present a new semi-automatic brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (LS-SVM). The method consists of thr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a031c26a439f7d0805e4c90c446ad9d
http://europepmc.org/articles/PMC3967426
http://europepmc.org/articles/PMC3967426
Publikováno v:
ICIP
In medical image analysis, multi-modal registration has been a challenging task due to the complex intensity relationship between images to be aligned. Conventional multi-modal approaches tend to assess the accuracy of the alignment by measuring a si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c08e8f60f896f0209ab1702342792467
https://doi.org/10.1109/icip.2016.7533211
https://doi.org/10.1109/icip.2016.7533211
Publikováno v:
EMBC
In medical image analysis, registration of multimodal images has been challenging due to the complex intensity relationship between images. Classical multi-modal registration approaches evaluate the degree of the alignment by measuring the statistica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f84d1a573b219811be964fc4f71deb4
https://doi.org/10.1109/embc.2016.7590908
https://doi.org/10.1109/embc.2016.7590908
Publikováno v:
Journal of Zhejiang University SCIENCE C. 11:92-100
We present an algorithm for image compression based on an image inpainting method. First the image regions that can be accurately recovered are located. Then, to reduce the data, information of such regions is removed. The remaining data besides esse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e85923be77dc2aae8cda90a8ff5ad69
https://doi.org/10.1631/jzus.c0910182
https://doi.org/10.1631/jzus.c0910182
Publikováno v:
Vision Letters. 1
Registration of multi-modal images has been a challenging taskdue to the complex intensity relationship between images. Thestandard multi-modal approach tends to use sophisticated similaritymeasures, such as mutual information, to assess the accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c138f1a39771247158a19d408758a5d5
https://doi.org/10.15353/vsnl.v1i1.60
https://doi.org/10.15353/vsnl.v1i1.60