Mrinal Kanti Bhowmik

Employment

• Tripura University Assistant Professor (Senior Scale)
  2010 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• Annotation and Benchmarking of a Video Dataset under Degraded Complex Atmospheric Conditions and Its Visibility Enhancement Analysis for Moving Object Detection
  IEEE Transactions on Circuits and Systems for Video Technology 2020 DOI: 10.1109/tcsvt.2020.2991191
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• Salient Features for Moving Object Detection in Adverse Weather Conditions during Night Time
  IEEE Transactions on Circuits and Systems for Video Technology 2020 DOI: 10.1109/tcsvt.2019.2926164
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• Akin-based Orthogonal Space (AOS): a subspace learning method for face recognition
  Multimedia Tools and Applications 2020 DOI: 10.1007/s11042-020-08892-9
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• Enhancement of robustness of face recognition system through reduced gaussianity in Log-ICA
  Expert Systems with Applications 2019 DOI: 10.1016/j.eswa.2018.08.047
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• Suspicious-Region Segmentation From Breast Thermogram Using DLPE-Based Level Set Method
  IEEE Transactions on Medical Imaging 2019 DOI: 10.1109/tmi.2018.2867620
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• 2-Stage classification of knee joint thermograms for rheumatoid arthritis prediction in subclinical inflammation
  Australasian Physical & Engineering Sciences in Medicine 2019 DOI: 10.1007/s13246-019-00726-9
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• Temperature profile guided segmentation for detection of early subclinical inflammation in arthritis knee joints from thermal images
  Infrared Physics & Technology 2019 DOI: 10.1016/j.infrared.2019.04.011
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• Evaluating the efficiency of infrared breast thermography for early breast cancer risk prediction in asymptomatic population
  Infrared Physics & Technology 2019 DOI: 10.1016/j.infrared.2019.01.004
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• Accurate segmentation of inflammatory and abnormal regions using medical thermal imagery
  Australasian Physical & Engineering Sciences in Medicine 2019 DOI: 10.1007/s13246-019-00753-6
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• EF-Index: Determining number of clusters (K) to estimate number of segments (S) in an image
  Image and Vision Computing 2019 DOI: 10.1016/j.imavis.2019.04.009
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