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ORCIDPriyambada Subudhi
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2020 – today
- 2024
[j6]Priyambada Subudhi, Kirti Kumari:
A fast and efficient large-scale near duplicate image retrieval system using double perceptual hashing. Signal Image Video Process. 18(12): 8565-8575 (2024)- 2022
- [c3]Pichhika Hari Chandana
, Priyambada Subudhi, Raja Vara Prasad Yerra:
MangoYOLO5: A Fast and Compact YOLOv5 Model for Mango Detection. CVMI 2022: 719-731 - 2021
- [j5]Priyambada Subudhi, Susanta Mukhopadhyay:
A statistical active contour model for interactive clutter image segmentation using graph cut optimization. Signal Process. 184: 108056 (2021)
2010 – 2019
- 2019
- [j4]Niladri Chakraborty, Priyambada Subudhi, Susanta Mukhopadhyay:
Shock filter-based morphological scheme for texture enhancement. IET Image Process. 13(4): 653-662 (2019) - [j3]Priyambada Subudhi, Susanta Mukhopadhyay:
An efficient graph reduction framework for interactive texture segmentation. Signal Process. Image Commun. 74: 42-53 (2019) - [c2]Priyambada Subudhi, Bhanu Pratap Prabhakar, Susanta Mukhopadhyay:
A Reduced Graph Cut Approach to Interactive Object Segmentation with Flexible User Input. CVIP (1) 2019: 291-300 - 2018
- [j2]Priyambada Subudhi, Susanta Mukhopadhyay:
A novel texture segmentation method based on co-occurrence energy-driven parametric active contour model. Signal Image Video Process. 12(4): 669-676 (2018) - 2017
- [j1]Priyambada Subudhi, Susanta Mukhopadhyay:
A fast texture segmentation scheme based on active contours and discrete cosine transform. Comput. Electr. Eng. 62: 105-118 (2017) - [c1]Priyambada Subudhi, Susanta Mukhopadhyay:
Object Segmentation in Texture Images Using Texture Gradient Based Active Contours. PReMI 2017: 124-131
Coauthor Index
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