Zobrazeno 1 - 10
of 14
pro vyhledávání: '"G. Vimala Kumari"'
Publikováno v:
Image Analysis and Stereology, Vol 37, Iss 3, Pp 249-275 (2018)
For perfect diagnosis of brain tumour, it is necessary to identify tumour affected regions in the brain in MRI (Magnetic Resonance Imaging) images effectively and compression of these images for transmission over a communication channel at high speed
Externí odkaz:
https://doaj.org/article/715e3570c7084681a4d16b3356fed259
Autor:
G Vimala Kumari
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 8:651-661
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa74f95c521afeeffcbb1fce36ec646
https://doi.org/10.22214/ijraset.2020.2100
https://doi.org/10.22214/ijraset.2020.2100
This article presents an image compression method using feed-forward back-propagation neural networks (NNs). Marked progress has been made in the area of image compression in the last decade. Image compression removing redundant information in image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07ab7636b9617a04d2a190bff08aaa1f
https://doi.org/10.4018/978-1-6684-2408-7.ch042
https://doi.org/10.4018/978-1-6684-2408-7.ch042
Publikováno v:
International Journal of Applied Metaheuristic Computing. 10:91-111
This article presents an image compression method using feed-forward back-propagation neural networks (NNs). Marked progress has been made in the area of image compression in the last decade. Image compression removing redundant information in image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a50ce5073458c7504c19a5a871585f4f
https://doi.org/10.4018/ijamc.2019100106
https://doi.org/10.4018/ijamc.2019100106
Publikováno v:
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) ISBN: 9783030006648
Since the inception of digital image processing, noise removal in images has always been a challenge to researchers and experts of the field. Most significant of these noises are the randomly varying impulse noises developed while image is acquired.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f532f6d0d59117901ae67d242888c4c
https://doi.org/10.1007/978-3-030-00665-5_37
https://doi.org/10.1007/978-3-030-00665-5_37
Publikováno v:
International Journal of Advanced Intelligence Paradigms. 18:171
Image compression plays a significant role in digital image storage and transmission because of limited availability of storage devices space and insufficient bandwidth and is beneficial for all multimedia applications. Magnetic resonance imaging (MR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::189ceb5a7bc37b7892668e361cd2ec75
https://doi.org/10.1504/ijaip.2021.112903
https://doi.org/10.1504/ijaip.2021.112903
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811315947
SocProS (2)
SocProS (2)
As images are of large size and require huge bandwidth and large storage space, an effective compression algorithm is essential. Hence in this paper, feedforward backpropagation neural network with the multilayer perception using resilient backpropag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3fe35a2ff76f9a58530f94716fad583
https://doi.org/10.1007/978-981-13-1595-4_9
https://doi.org/10.1007/978-981-13-1595-4_9
Publikováno v:
Image Analysis and Stereology, Vol 37, Iss 3, Pp 249-275 (2018)
For perfect diagnosis of brain tumour, it is necessary to identify tumour affected regions in the brain in MRI (Magnetic Resonance Imaging) images effectively and compression of these images for transmission over a communication channel at high speed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff562c0d454fe6f9752a4547f163ffc7
https://doi.org/10.5566/ias.1865
https://doi.org/10.5566/ias.1865
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