Zobrazeno 1 - 10
of 62
pro vyhledávání: '"M. L. Dewal"'
Publikováno v:
International Journal of Biomedical Imaging, Vol 2016 (2016)
The speckle noise is inherent to transthoracic echocardiographic images. A standard noise-free reference echocardiographic image does not exist. The evaluation of filters based on the traditional parameters such as peak signal-to-noise ratio, mean sq
Externí odkaz:
https://doaj.org/article/2153f175cc3f4a3da0aa1af5d4bc23ab
Publikováno v:
IETE Journal of Research. 69:209-219
This paper exhibits a computer-aided diagnosis system for the severity analysis of mitral regurgitation (MR) and assesses the discriminatory capability of Daubechies wavelet-based texture modeling....
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32e831267fd3d728f8dc0b39533ec9c6
https://doi.org/10.1080/03772063.2020.1814880
https://doi.org/10.1080/03772063.2020.1814880
Publikováno v:
Wood Science and Technology. 53:1191-1205
This paper presents an approach to segment the light microscopic images of hardwood species and then extract only the vessel elements out of the images. In this work, an effort was made to propose a platform-independent tool based on simple digital i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f72e828485a6bdc3e9522b143e31c4
https://doi.org/10.1007/s00226-019-01125-9
https://doi.org/10.1007/s00226-019-01125-9
Publikováno v:
International Journal of Information Technology. 11:647-651
This paper looks at the adequacy of the four-color spaces i.e. RGB, L*A*B*, YCbCr, and CMY as far as their characterization execution in a computer helped arrangement framework for the severity analysis of mitral regurgitation into three categories i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d6da53885230d02abb3cfec2ebe5433
https://doi.org/10.1007/s41870-019-00331-9
https://doi.org/10.1007/s41870-019-00331-9
Computer-aided classification of the mitral regurgitation using multiresolution local binary pattern
Publikováno v:
Neural Computing and Applications. 32:2205-2215
This paper introduces a computer-aided classification (CAC) system for the severity analysis of mitral regurgitation (MR) utilizing multiresolution local binary pattern variants texture features. Initially, the Gaussian pyramid has been used as a mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c446bf542d8be0d581101ee05e5ed3b5
https://doi.org/10.1007/s00521-018-3935-x
https://doi.org/10.1007/s00521-018-3935-x
Publikováno v:
Wood Science and Technology. 51:909-927
This paper presents an approach for generating a binary wavelet transform-based completed local binary pattern (BWTCLBP) texture descriptor to improve the classification accuracy of microscopic images of hardwood species. Firstly, gray-level slicing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8dfe24b26f4b6effc0855b692a0c066b
https://doi.org/10.1007/s00226-017-0902-0
https://doi.org/10.1007/s00226-017-0902-0
Publikováno v:
Optik. 127:30-38
The transthoracic echocardiographic (TTE) images used to assess cardiac health are inherent with speckle noise, making it very difficult for accurate abnormality diagnosis. To address this issue, a novel speckle reduction known as extreme total varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7809effd07040bf5e9c3934588edd2a3
https://doi.org/10.1016/j.ijleo.2015.08.207
https://doi.org/10.1016/j.ijleo.2015.08.207
Publikováno v:
Optik. 126:5570-5578
This paper presents a texture feature based approach for hardwood species classification. The three existing feature extraction techniques such as local binary pattern (LBP), local configuration pattern (LCP) and local phase quantization (LPQ) are in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba3d8e550b10c016876d1730ebb307b8
https://doi.org/10.1016/j.ijleo.2015.09.030
https://doi.org/10.1016/j.ijleo.2015.09.030
Publikováno v:
Sadhana. 40:2287-2312
In this work, discrete wavelet transform (DWT) based hybrid texture feature extraction techniques have been used to categorize the microscopic images of hardwood species into 75 different classes. Initially, the DWT has been employed to decompose the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0e9086951059adc1138f91fa500c93e
https://doi.org/10.1007/s12046-015-0441-z
https://doi.org/10.1007/s12046-015-0441-z
Publikováno v:
Applied Soft Computing. 32:101-112
Multiresolution local binary pattern (MRLBP) variants based texture feature extraction technique. A multiresolution local binary pattern (MRLBP) variants based texture feature extraction techniques for hardwood species categorization into 75 classes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ccd21e7622f75abb8f6faf9289b4f8f
https://doi.org/10.1016/j.asoc.2015.03.039
https://doi.org/10.1016/j.asoc.2015.03.039