S. Samant, P. K. Nanda, A. Ghosh, S. Sahoo and A. K. Panda, "Registration of CT and MR image in multi-resolution framework using embedded entropy and feature fusion," International Journal of Computational Vision and Robotics (Article in press).
S. Sahoo and P. K. Nanda, "KDE-Based Simultaneous Background Model Learning and Entropy-Based Fusion of Cascaded Features for Video Object Segmentation With Shadow Removal," IEEE Access (Impact Factor: 3.9), vol. 11, pp. 80056-80071, 2023.
J. Panda, and P. K. Nanda, "Particle Filter based Video Object Tracking using Feature Fusion in Template Partitions ," The Visual Computer (Impact Factor: 3.5), vol. 39, pp. 2757-2779, 2023.
M. Wagh, and P. K. Nanda, "Decision-Theoretic Rough Sets based automated scheme for object and background classification in unevenly illuminated images," Applied Soft Computing (Impact Factor: 8.26), vol. 119, pp. 108596, 2022.
S. Samant, P. K. Nanda, A. Ghosh, and A. K. Panda, "Noisy multimodal brain image registration using markov random field model," Biomedical Signal Processing and Control (Impact Factor: 5.07), vol. 73, pp. 103426, 2022.
S. Sahoo and P. K. Nanda, "Adaptive Feature Fusion and Spatio-Temporal Background Modeling in KDE Framework for Object Detection and Shadow Removal," IEEE Transactions on Circuits and Systems for Video Technology (Impact Factor: 5.85), vol. 32, no. 3, pp. 1103 - 1118, 2022.
M. Wagh, and P. K. Nanda, "Rough Set and Otsu Approach based Hybrid Image Classification under Uneven Lighting Conditions," International Journal of Engineering Trends and Technology, vol. 69, no. 12, pp. 92 - 102, 2021.
S. Pany, A. Nashim, K. Parida, and P. K. Nanda, "Construction of NiCo2O4/O-g-C3N4 Nanocomposites: A Battery-Type Electrode Material for High-Performance Supercapacitor Application," ACS Applied Nano Materials (Impact Factor: 5.09), vol. 4, no. 10, pp. 10173 - 10184, 2021.
S. Swain and P. K. Nanda, "Adaptive Queue Management and Traffic Class Priority Based Fairness Rate Control in Wireless Sensor Networks," IEEE Access (Impact Factor: 3.9), vol. 9, pp. 112607 - 112623, 2021.
S. Panda and P. K. Nanda, "Kernel density estimation and correntropy based background modeling and camera model parameter estimation for underwater video object detection," Soft Computing (Impact Factor: 3.7), vol. 25, pp. 10477-10496, 2021.
S. Acharya and P. K. Nanda, "Adjacent LBP and LTP based background modeling with mixed-mode learning for foreground detection," Pattern Analysis and Applications (Impact Factor: 2.580), 2021.
J. Panda and P. K. Nanda, "Particle Filter and Entropy-Based Measure for Tracking of Video Objects," Proceedings of Springer International Conference on Green Technology for Smart City and Society (GTSCS), Lecture Notes in Networks and Systems,, vol. 151, pp. 339-354, 2021.
J. Panda and P. K. Nanda, "Video Object-Tracking Using Particle Filtering and Feature Fusion," Proceedings of Springer International Conference on Advances in Electrical Control and Signal Systems (AECSS), Lecture Notes in Electrical Engineering,, pp. 945-957, 2020.
S. Acharya and P. K. Nanda, "Modified LBP Based Background Modeling for Video Object Detection," IUP Journal of Electrical & Electronics Engineering , Vol. 13, No. 3, pp. 7-22, 2020.
A. N. Padhi, S. Acharya and P. K. Nanda, "Feature Fusion Based Background Model Learning for Video Object Detection," Proceedings of IEEE Region 10 Symposium (TENSYMP), pp. 126-129, 2020.
S. Samant, S. Sahoo and P. K. Nanda, "Embedded Entropy-Based Registration of CT and MR Images," Proceedings of Springer International Conference on Advances in Intelligent Computing and Communication (ICAC), Lecture Notes in Networks and Systems , vol.109, pp. 289-298, 2020.
S. Panda and P. K. Nanda, "MRF Model-Based Estimation of Camera Parameters and Detection of Underwater Moving Objects," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), IGI Global, vol.14, no.4, pp. 1-29, 2020.
S. K. Swain and P. K. Nanda,
"Priority Based Adaptive Rate Control in Wireless
Sensor Networks: A Difference of Differential Approach," IEEE Access
(Impact
Factor: 3.9), vol. 7, pp. 112435-112447, 2019.
S. Acharya and P. K. Nanda, "Fast adjacent LBP based background modeling for foreground detection in video sequences," Proceedings of Springer International Conference on Intelligent Computing and Communication Technologies (ICICCT: 2019), System Reliability, Quality Control, Safety, Maintenance and Management, pp. 845-853, 2019.
M. Wagh and P. K. Nanda, "Fuzzy granulation and constraint neighbourhood granulation structure for object classification in unevenly illuminated images," Applied Soft Computing (Impact Factor: 8.26), vol. 74, pp. 306-319, 2019.
J. Aparajeeta, S. Mahakud, P. K. Nanda and N. Das, "Variable Variance Adaptive Mean-Shift and Possibilistic Fuzzy C-Means based Recursive Framework for Brain MR Image Segmentation," Expert Systems with Applications (Impact Factor: 8.66), vol. 92, pp. 317-333, 2018.
S. K. Swain and P. K. Nanda, "Priority based fairness rate control in wireless sensor networks," Proceedings of IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), pp. 2206-2210, 2017.
J. Aparajeeta, S. Mahakud, P. K. Nanda and N. Das, "A recursive framework for bias field estimation and segmentation of noisy brain MR images," Proceedings of 4th IEEE International Conference on Signal Processing and Integrated Networks (SPIN), pp. 126-131, 2017.
B. N. Subudhi, S. Ghosh, P. K. Nanda and A. Ghosh, "Moving object detection using spatio-temporal multilayer compound Markov Random Field an histogram thresholding based change detection," Multimedia Tools and Applications (Impact Factor: 2.57), vol. 76, pp. 13511-13543, 2017.
S. Samant, P. K. Nanda and A. Ghosh, "Noisy brain MR and CT image registration using MRF model," Proceedings of IEEE Region 10 Conference (TENCON), pp. 1258-1261, 2016.
S. Acharya, P. S. Priyadarsini and P. K. Nanda, "Adjacent and functional LBP based background model learning for video object detection," Proceedings of IEEE Region 10 Conference (TENCON), pp. 781-784, 2016.
S. Mahakud and P. K. Nanda, "Mean Shift and Fuzzy C-Means-Based Algorithm for Segmentation of Noisy Scenes," IUP Journal of Computer Sciences, Vol. 10, No. 3, pp. 45-56, 2016.
J. Aparajeeta, P. K. Nanda and N. Das, "Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image," Applied Soft Computing (Impact Factor: 8.26), Vol. 41, pp. 104-119, 2016.
S. Behera and P. K. Nanda, "LBP and Weber law descriptor feature based CRF model for detection of man-made structures," Proceedings of International Conference on Man and Machine Interfacing (MAMI),2015.
M. Mandal and P. K. Nanda, "Embedded local feature based background modeling for video object detection," Proceedings of IEEE Conference on Power, Communication and Information Technology (PCITC), pp. 691-696, 2015.
M. Wagh and P. K. Nanda, "Segmentation of non-uniformly illuminated images using adaptive windowing and non-homogeneous granulation," Proceedings of IEEE Conference on Power, Communication and Information Technology (PCITC), pp. 814-819, 2015.
S. Panda and P. K. Nanda, "Segmentation of underwater video objects using Extended Markov Random Field Model," Proceedings of IEEE Conference on Underwater Technology (UT), 2015.
J. Aparajeeta, P. K. Nanda and N. Das, "Bias field estimation and segmentation of MR image using modified fuzzy C-means algorithms," Proceedings of 8th International Conference on Advances in Pattern Recognition (ICAPR), 2015.
S. K. Swain and P. K. Nanda, "Priority-based adaptive rate control for wireless sensor networks," Souvenir of the 2014 IEEE International Advance Computing Conference (IACC), pp. 370-374, 2014.
S. Sahoo, P. K. Nanda and S. Samant, "Tsallis and Renyi's embedded entropy based mutual information for multimodal image registration," Proceedings of 4th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013.
S. Panda and P. K. Nanda, "Markov random field model based graduated penalty function for reinforcing ill-defined edges in color image segmentation," Lecture notes In Computer Science (LNCS), Vol. 7677, pp. 802-809, SEMCCO 2012.
S. Panda and P. K. Nanda, "Constrained Compound Markov Random Field model with graduated penalty function for color image segmentation," Advanced Material Research, Vol. 403-408, pp. 3438-3445, 2012.
S. Panda and P. K. Nanda, "Supervised color image segmentation using constrained compound MRF model with Bi-level line Field," Proceedings of International Conference on Energy, Automation and Signal (ICEAS), pp. 149-154, 2011.
S. Srikumar, M. Wagh and P. K. Nanda, "Adaptive windowing and granular computing based image segmentation," Proceedings of International Conference on Energy, Automation and Signal (ICEAS), pp. 155-159, 2011.
S. Samant, P. K. Nanda and S. Sahoo, "Multimodal image registration based on weighted feature and mutual information," Proceedings of IEEE Conference on Recent Advances in Intelligent Computational Systems (RAICS), pp. 420-424, 2011.
B. N. Subudhi, P. K. Nanda and A. Ghosh, "Entropy based region selection for moving object detection," Pattern Recognition Letters (Impact Factor: 4.75), Vol. 32, pp. 2097-2108, 2011.
B. N. Subudhi, P. K. Nanda and A. Ghosh, "A change information based fast algorithm for video object detection and tracking," IEEE Transactions on Circuits and Systems for Video Technology (Impact Factor: 5.85), Vol. 21, pp. 993-1004, July 2011.
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1. B. N. Subudhi and P. K. Nanda, "Video Image Segmentation and Object Detection using MRF Model," LAMBERT Academic Publishing, Germany, 2009.
2. S. Dutta and P. K. Nanda, "Moment Based Object recognition and Reconstruction: Theory and Applications," LAMBERT Academic Publishing, Germany, 2010.
3. P. Kanungo and P.K. Nanda, "PGA Based Thresholding Schemes for Image Segmentation," LAMBERT Academic Publishing, Germany, 2012.
4. B. K. Panigrahi, S. Das, P.N. Sunganathan and P.K. Nanda, "Swarm , Evolutionary Computin and Memetic Computing," Proceedings of the International Conference on SEMCO, Springer LNCS series 2012.
5. S. Panda and P.K. Nanda, "Color Image Segmentation Using Markov Random Field Models," LAMBERT Academic Publishing, Germany, 2018.
1. P. Kanungo, P. K. Nanda and A. Ghosh, "Parallel Genetic Algorithm based Clustering for Object and Background Classification", book titled: "Machine Interpretation of Patterns: Image Analysis and Data mining ", Ed: R.K. De, D. P. Mandal and A. Ghosh, World Scientific Press, pp. 69-90, 2010.
2. P. K. Nanda and S. Panda, "Constrained Compound MRF model with Bi-Level Line Field for color image segmentation ", book titled: "Advances in Image Segmentation", Ed: Pei Gee Peter, Intech Publishing house, Croatia , chapter. 4, October 2012.