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| PRIYADARSAN PARIDA |
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| GIET University, Rayagada |
| Regular Member |
| Personal Web Site: https://sites.google.com/a/giet.edu/priyadarsan-parida-ece/home |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1999 |
| Short Biography |
Dr. Priyadarsan Parida is an Associate Professor at GIET University, where Dr. Parida is involved in academic activities (including teaching various UG/PG courses related to electronics & communication engineering) and research. Dr. Parida has 8 years of teaching and 5 years of research experience. The research activities are reflected in different international journals and conferences of repute. His research interests mainly focuses in different computer vision applications to biomedical images.
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| List of top 5 publications in the last 5 years |
Journals
J. Dash, P. Parida, N. Bhoi, Retinal blood vessel extraction from fundus images using enhancement filtering and clustering, ELCVIA Electronic Letters on Computer Vision and Image Analysis. 19 (2020) 38–52. https://doi.org/10.5565/rev/elcvia.1239. (Scopus)
V.K. Kiran, P. Parida, S. Dash, Vehicle Detection and Classification: A Review, Journal of Information Assurance and Security. 15 (2020) 76–93.(SCI)
R. PallaSankara, G. Sahu, P. Parida, A contemporary Survey on Human Gait Recognition, Journal of Information Assurance and Security. 15 (2020) 94–106. (SCI)
P. Parida, R. Rout, Transition region based approach for skin lesion segmentation, ELCVIA Electronic Letters on Computer Vision and Image Analysis. 19 (2020) 28–37. https://doi.org/10.5565/rev/elcvia.1177. (Scopus)
R. Rout, P. Parida, A novel method for melanocytic skin lesion extraction and analysis, Journal of Discrete Mathematical Sciences and Cryptography. 23 (2020) 461–473. https://doi.org/10.1080/09720529.2020.1728900. (Scopus / SCI) (Taylor & Francis)
P. Parida, Development of transition region based methods for image segmentation, ELCVIA Electronic Letters on Computer Vision and Image Analysis. 18 (2020) 1. https://doi.org/10.5565/rev/elcvia.1176. (Scopus)
P. Parida, N. Bhoi, Fuzzy clustering based transition region extraction for image segmentation, Engineering Science and Technology, an International Journal. 21 (2018) 547–563. https://doi.org/10.1016/j.jestch.2018.05.012. (Scopus / SCI) (Elsevier) (Impact Factor-3.212)
P. Parida, N. Bhoi, Feature based transition region extraction for image segmentation: Application to worm separation from leaves, Future Computing and Informatics Journal. 3 (2018) 262–274. https://doi.org/10.1016/j.fcij.2018.08.001. (Elsevier)
P. Parida, Fuzzy clustering based transition region extraction for image segmentation, Future Computing and Informatics Journal. 3 (2018) 321–333. https://doi.org/10.1016/j.fcij.2018.10.002. (Elsevier)
P. Parida, N. Bhoi, Dual transition region extraction based colour image segmentation: Application to fish image segmentation, Global Journal of Computer Science and Technology: F Graphics & Vision. 17 (2017) 21–29.
P. Parida, N. Bhoi, Wavelet based transition region extraction for image segmentation, Future Computing and Informatics Journal. 2 (2017) 65–78. https://doi.org/10.1016/j.fcij.2017.10.005. (Elsevier)
P. Parida, N. Bhoi, 2-D Gabor filter based transition region extraction and morphological operation for image segmentation, Computers & Electrical Engineering. 62 (2017) 119–134. https://doi.org/10.1016/j.compeleceng.2016.10.019. (Scopus / SCI) (Elsevier) (Impact Factor-2.189)
S.K. Behera, P. Parida, N. Bhoi, A.K. Athghara, An Analytical Review on Various Image Segmentation Methods Based on Transition Region-Based Thresholding, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 5 (2016) 3845–3852. https://doi.org/10.15662/IJAREEIE.2016.0505056.
P. Parida, N. Bhoi, Transition region based single and multiple object segmentation of gray scale images, Engineering Science and Technology, an International Journal. 19 (2016) 1206–1215. https://doi.org/10.1016/j.jestch.2015.12.009. (Scopus / SCI) (Elsevier) (Impact Factor-3.212)
Conferences
R. Rout, P. Parida, Transition region based approach for skin lesion segmentation, Procedia Computer Science. 171 (2020) 379–388. https://doi.org/10.1016/j.procs.2020.04.039. (Scopus / Web of Science) (Elsevier)
R. Rout, P. Parida, A Review on Leaf Disease Detection Using Computer Vision Approach, in: Intelligent Techniques and Applications in Science and Technology, 2020: pp. 863–871. https://doi.org/10.1007/978-3-030-42363-6_99. (Springer)
P. Parida, N. Bhoi, P. Dewangan, Colour image segmentation based on transition region and morphological operation, in: 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), IEEE, 2017: pp. 1293–1297. https://doi.org/10.1109/WiSPNET.2017.8299972. (Scopus / Web of Science) (IEEE)
P. Parida, N. Bhoi, Comparative study on Graph cuts for image segmentation, in: Proceedings of 6th ISERD International Conference, Bali, Indonesia, 2014: pp. 40–46. |
| List of top 5 academic activities during the last 5 years |