Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Anil Balaji Gonde"'
Autor:
Murari Mandal, Mallika Chaudhary, Santosh Kumar Vipparthi, Subrahmanyam Murala, Anil Balaji Gonde, Shyam Krishna Nagar
Publikováno v:
IET Computer Vision, Vol 13, Iss 1, Pp 31-43 (2019)
In this study, new feature descriptors are designed for medical image retrieval and change detection applications, respectively. Inspired by isomerism, the authors propose a novel feature descriptor named antithetic isomeric cluster pattern (ANTIC).
Externí odkaz:
https://doaj.org/article/b366be63bca744a7bef3682c2420f80f
Publikováno v:
IET Computer Vision, Vol 10, Iss 3, Pp 182-192 (2016)
This study proposes a new feature descriptor, local directional mask maximum edge pattern, for image retrieval and face recognition applications. Local binary pattern (LBP) and LBP variants collect the relationship between the centre pixel and its su
Externí odkaz:
https://doaj.org/article/0ec05cd688c842a384675441842b2106
Publikováno v:
IEEE Signal Processing Letters. 28:489-493
The current prevailing algorithms highly depend on additional pre-trained modules trained for other applications or complicated training procedures or neglect the inter-frame spatio-temporal structural dependencies. Also, the generalized effect of ex
Autor:
Subrahmanyam Murala, Ashutosh Kulkarni, Akshay Dudhane, Sunil Gupta, Anil Balaji Gonde, Prashant W. Patil
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
Moving object segmentation (MOS) in videos received considerable attention because of its broad security-based applications like robotics, outdoor video surveillance, self-driving cars, etc. The current prevailing algorithms highly depend on addition
Publikováno v:
International Journal of Multimedia Information Retrieval. 8:115-125
In this paper, three-dimensional local circular difference patterns (3D LCDP) and three-dimensional local circular difference wavelet patterns (3D LCDWP) are proposed for retrieval of biomedical images. The standard patterns are used to correlate gra
Autor:
Mallika Chaudhary, Subrahmanyam Murala, Murari Mandal, Santosh Kumar Vipparthi, Shyam Krishna Nagar, Anil Balaji Gonde
Publikováno v:
IET Computer Vision. 13:31-43
In this study, new feature descriptors are designed for medical image retrieval and change detection applications, respectively. Inspired by isomerism, the authors propose a novel feature descriptor named antithetic isomeric cluster pattern (ANTIC).
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030814618
In this paper, Most Significant Bit-plane using Local Ternary Pattern is proposed for retrieval of biomedical images. Biomedical images have been evolved in hospitals and medical institutions for disease diagnosis of patients and to detect and record
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a60e8fb1b267b4cfa801bf7fe699880f
https://doi.org/10.1007/978-3-030-81462-5_18
https://doi.org/10.1007/978-3-030-81462-5_18
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811540141
CVIP (1)
CVIP (1)
The existing approaches achieved remarkable performance in many computer vision applications like moving object segmentation (MOS), classification, etc. However, in presence of infrequent motion of foreground objects, bad weather and dynamic backgrou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e2b7b4033018a42d2b52aa624357c24
https://doi.org/10.1007/978-981-15-4015-8_28
https://doi.org/10.1007/978-981-15-4015-8_28
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811540172
CVIP (2)
CVIP (2)
Facial Expression evaluation has become necessary for human machine interaction, behavior analysis and also forensic and clinical evaluation. Deep convolutional neural networks (CNN) have been largely used for facial expression recognition but due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d9b0dc89e8f7b3ef0ac53c1ca69d4b5
https://doi.org/10.1007/978-981-15-4018-9_26
https://doi.org/10.1007/978-981-15-4018-9_26
Publikováno v:
International Journal of Multimedia Information Retrieval. 7:231-239
Authors have proposed novel multi-dimensional multi-directional mask maximum edge patterns for the bio-medical image retrieval. Standard local binary patterns encode relationship of neighbor pixels with center pixel. Local mesh patterns encode the re