P. Nanda

发表

Noisy brain MR and CT image registration using MRF model

Pradipta Kumar Nanda, Sunita Samant, Asish Ghosh, 2016, 2016 IEEE Region 10 Conference (TENCON).

LBP and Weber law descriptor feature based CRF model for detection of man-made structures

P. Nanda, S. Behera, 2015, 2015 International Conference on Man and Machine Interfacing (MAMI).

Parallel genetic algorithm based unsupervised scheme for extraction of power frequency signals in the steel industry

B. Ghose, P. Nanda, T. N. Swain, 2002 .

Detection of Earth Surface Cracks Using Parallel Genetic Algorithm Based Thresholding

Ashish Ghosh, P. Nanda, P. Kanungo, 2009, 2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies.

Color Image Segmentation Using MRF Model and Simulated Annealing

P. Nanda, Parthajit Mohapatra, S. Panda, 2006 .

Chapter 4 Constrained Compound MRF Model with Bi-Level Line Field for Color Image Segmentation

P. Nanda, S. Panda, 2012 .

Supervised color image segmentation using constrained compound MRF model with Bi-level line Field

P. Nanda, S. Panda, 2011 .

Constrained Markov Random Field Model for Color and Texture Image Segmentation

P. Nanda, S. Panda, R. Dey, 2008, 2008 International Conference on Signal Processing, Communications and Networking.

Moving Object Detection using Compound Markov Random Field Model

Badri Narayan Subudhi, Pradipta Kumar Nanda, P. Nanda, 2008 .

Constrained compound Markov random Field Model for segmentation of color texture and scene images

P. Nanda, S. Panda, R. Dey, 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

Image segmentation Using Parallel Tabu Search Algorithm and MRF Model

D. Patra, P. Nanda, 2005 .

Compound Markov Random Field Model Based Video Segmentation

Badri Narayan Subudhi, Pradipta Kumar Nanda, P. Nanda, 2022 .

Entropy based region selection for moving object detection

Ashish Ghosh, Badri Narayan Subudhi, Pradipta Kumar Nanda, 2011, Pattern Recognit. Lett..

SOI CMOS-based Transistor Model for Low Power Wireless Sensor Network

P. Nanda, S. Panigrahi, 2015 .

Segmentation of nonuniformly illuminated images using adaptive windowing and nonhomogeneous granulation

P. Nanda, Mamata Wagh, 2015, 2015 IEEE Power, Communication and Information Technology Conference (PCITC).

Adaptive Queue Management and Traffic Class Priority Based Fairness Rate Control in Wireless Sensor Networks

P. Nanda, S. Swain, 2021, IEEE Access.

Color and Texture Segmentation Using an Unified MRF Model

P. Nanda, S. Panda, 2022, Journal of Computer and Communications.

Classification of Objects and Background Using Parallel Genetic Algorithm Based Clustering

Asish Ghosh, P. Kanungo, Pradipta Kumar Nanda, 2007 .

Parallel Genetic Algorithm Based Thresholding for Image Segmentation

Pradipta Kumar Nanda, P. Kanungo, P. Nanda, 2006 .

Parallel Genetic Algorithm based Adaptive Line Enhancement Schemes for Extraction of Power Frequency Signals

P. K. Nanda, Bikash Ghose, P K Sahu, 2004 .

Number 1

Siti Norul Huda, Cairong Zhao, Chuancai Liu, 2016 .

Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing

Ponnuthurai N. Suganthan, Swagatam Das, B. K. Panigrahi, 2012 .

Moving object detection using spatio-temporal multilayer compound Markov Random Field and histogram thresholding based change detection

Ashish Ghosh, P. Nanda, B. Subudhi, 2017, Multimedia Tools and Applications.

Joint parameter estimation and restoration using MRF models and homotopy continuation method

Uday B. Desai, P. G. Poonacha, P. K. Nanda, 1994, Proceedings of 1st International Conference on Image Processing.

Kernel density estimation and correntropy based background modeling and camera model parameter estimation for underwater video object detection

Pradipta Kumar Nanda, Susmita Panda, P. Nanda, 2021, Soft Comput..

Adjacent LBP and LTP based background modeling with mixed-mode learning for foreground detection

Pradipta Kumar Nanda, Subhabrata Acharya, P. Nanda, 2021, Pattern Analysis and Applications.

Feature Fusion Based Background Model Learning for Video Object Detection

Pradipta Kumar Nanda, Subhabrata Acharya, Aditya Narayan Padhi, 2020, 2020 IEEE Region 10 Symposium (TENSYMP).

Fast Adjacent LBP Based Background Modeling for Foreground Detection in Video Sequences

Pradipta Kumar Nanda, Subhabrata Acharya, P. Nanda, 2019, ICICCT 2019 – System Reliability, Quality Control, Safety, Maintenance and Management.

Fuzzy granulation and constraint neighbourhood granulation structure for object classification in unevenly illuminated images

Pradipta Kumar Nanda, Mamata Wagh, P. Nanda, 2019, Appl. Soft Comput..

Adaptive windowing and granular computing based image segmentation

Mamta Wagh, P. K. Nanda, P. Nanda, 2011, 2011 International Conference on Energy, Automation and Signal.

Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image

Niva Das, Pradipta Kumar Nanda, Jeetashree Aparajeeta, 2016, Appl. Soft Comput..

2009 International Conference on Advances in Computing, Control, and Telecommunication Technologies ACT 2009 Table of Contents

V. S. Ananthanarayana, Demian Antony D'Mello, Ashish Ghosh, 2009 .

A Change Information Based Fast Algorithm for Video Object Detection and Tracking

Ashish Ghosh, Badri Narayan Subudhi, Pradipta Kumar Nanda, 2011, IEEE Transactions on Circuits and Systems for Video Technology.

Detection of slow moving video objects using compound Markov random Field model

P.K. Nanda, B.N. Subudhi, P. Nanda, 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

Adjacent and functional LBP based background model learning for video object detection

Pradipta Kumar Nanda, Subhabrata Acharya, Pragyan Snigdha Priyadarsini, 2016, 2016 IEEE Region 10 Conference (TENCON).

Embedded local feature based background modeling for video object detection

P. Nanda, Manisha Mandal, 2015, IEEE Power, Communication and Information Technology Conference.

Kernel density estimation and correntropy based background modeling and camera model parameter estimation for underwater video object detection

P. Nanda, Susmita Panda, 2021, Soft Computing.

Power quality improvement in 3-ϕ power system using shunt active filter with synchronous detection method

P K Nanda, P. Nanda, 2014 .

Particle filter-based video object tracking using feature fusion in template partitions

P. Nanda, J. Panda, 2022, The Visual Computer.

Bias field estimation and segmentation of MR image using modified fuzzy-C means algorithms

Niva Das, Pradipta Kumar Nanda, Jeetashree Aparajeeta, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).