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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** (

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:

J. Panda, and P. K. Nanda,
"Particle Filter based Video Object Tracking using Feature Fusion in Template Partitions
," ** The Visual Computer** (Impact Factor:

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:

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:

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:

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:

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:

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:

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:

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:

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:

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:

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:

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,

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:

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:

For more please **click here**

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,

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,