Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sahana M Prabhu"'
Autor:
Krishna Poojita Vunnava, Rohit Shetty, Sahana M Prabhu, Piyush Tiwari, Mathew Kurian Kummelil
Publikováno v:
Indian Journal of Ophthalmology, Vol 71, Iss 4, Pp 1426-1431 (2023)
Purpose: An algorithm for automated segmentation of meibomian glands from infrared images obtained using a novel prototype infrared hand-held imager has been proposed in this study. Meibomian gland dysfunction (MGD) is quantified in terms of five cli
Externí odkaz:
https://doaj.org/article/eef39e7a844f4f5bbefde8927096b9ac
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb3394e7a0a8e3f949d0f6b3623c0d10
https://doi.org/10.1109/icip46576.2022.9897945
https://doi.org/10.1109/icip46576.2022.9897945
Publikováno v:
ISBI
In this paper, we propose a hybrid approach combining traditional texture analysis methods with deep learning for the automatic detection and measurement of abdominal contour from 2-D fetal ultrasound images. Following a learning-based procedure for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d682f0ef3ae1cbe85b8c938a6182a0f0
https://doi.org/10.1109/isbi.2016.7493382
https://doi.org/10.1109/isbi.2016.7493382
Autor:
Sahana M. Prabhu, A. N. Rajagopalan
Publikováno v:
IEEE Transactions on Image Processing. 20:3647-3653
A new approach for image matting is proposed based on the Kalman filter, to extract the matte and original foreground, despite the presence of noise in the observed image. Different filter formulations with a discontinuity-adaptive Markov random fiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04d15bfc6831b52ed14867b26f936f29
https://doi.org/10.1109/tip.2011.2156419
https://doi.org/10.1109/tip.2011.2156419
Publikováno v:
ICVGIP
Camouflaging an object in a photograph is normally performed with the intent of unnoticeably hiding it within a given image. In this work, we give a different dimension to this problem and raise the interesting issue of camouaging motion blur with sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a2d62b695282591a58c45344f2f5251
https://doi.org/10.1145/2683483.2683568
https://doi.org/10.1145/2683483.2683568
Autor:
A. N. Rajagopalan, Sahana M. Prabhu
Publikováno v:
Journal of the Optical Society of America. A, Optics, image science, and vision. 30(8)
Reconstruction of a super-resolved image from multiple frames and extraction of matte are two popular topics that have been solved independently. In this paper, we advocate a unified framework that assimilates matting within the super-resolution mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a23403223fd6193d84116b653258e61c
https://pubmed.ncbi.nlm.nih.gov/24323210
https://pubmed.ncbi.nlm.nih.gov/24323210
Autor:
A. N. Rajagopalan, Sahana M. Prabhu
Publikováno v:
ICPR
In this paper, we propose a video matting method with simultaneous noise reduction based on the Unscented Kalman filter (UKF). This recursive approach extracts the alpha mattes and denoised foregrounds from noisy videos, in a unified framework. No as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15b1de2eaef6ec54a069041e90decc29
https://doi.org/10.1109/icpr.2010.1099
https://doi.org/10.1109/icpr.2010.1099
Autor:
A. N. Rajagopalan, Sahana M. Prabhu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642159855
DAGM-Symposium
DAGM-Symposium
Super-resolution of the alpha matte and the foreground object from a video are jointly attempted in this paper. Instead of super-resolving them independently, we treat super-resolution of the matte and foreground in a combined framework, incorporatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::429b5d0617a080514239df4f5e7e0455
https://doi.org/10.1007/978-3-642-15986-2_43
https://doi.org/10.1007/978-3-642-15986-2_43
