Details
Last Updated on Wednesday, 08 July 2020 13:12

Computer Vision II Laboratory

 

Facilities

  • Hardware:High-end ComputersHigh-end Color PrintersVideo Cameras

  • Software:MATLAB (MATRIX LABORATORY) the high-performance language for technical computing. We have the compilers, plus toolboxes for image processing, optimization, signal processing, simulink, state flow, wavelets, and control.OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer vision.

 

Application Developed

Projects Information

Name 3


  

  

  

+ - Research Areas Click to collapse

  • Microarray Data/Gene Clustering and Classification

  • Machine Learning Algorithms

  • Biometrics

  • Bioinformatics

  • Gaussian Mixture Models (GMM)

  • Hidden Markov Models (HMM) and Fuzzy Hidden Markov Models (FHMM)

  • Additive, and Non-additive Neuro-Fuzzy Modeling

  • Clustering and Classification Algorithms

  • Biclustering / Co Clustering

  • System Modeling, Prediction and Forecastings

  • Color Segmentation

  • ideo/Image Sequence Recognition

  • Medical Image segmentation

  • Computer Vision and Image Processing

  • Pattern Recognition

  • Active 3-D Object Recognition

  • Tracking and Gesture Analysis

  • Image Mosaicing

  • Biometrics: Fingerprint Analysis

  • Bioinformatics: Protein Structure Analysis

  • upport of visual effects creation for cinema and broadcast, e.g., camera tracking (matchmoving)

  • Surveillance

{\slider}{slider=Projects}

  • Prediction of Satellite Image using Fuzzy Rule based Gaussian Regression: An Aid to Detect and Forecast the Tropical Cyclones Early

  • Color Segmentation Using Improved Mountain Clustering Technique

  • MRI Brain Image Segmentation for Spotting Tumors Using Improved Mountain Clustering Approach


+ - Publications Click to collapse

  • Nishchal K. Verma and M. Hanmandlu, Color segmentation via. Improved mountain clustering technique, International Journal of Image and Graphics, Vol.7, No. 2, April 2007, pp. 407-426.

  • Nishchal K. Verma and M. Hanmandlu, Non-additive Generalized Fuzzy System Under the Frame-work of Cluster weighted Model, International Journal on Artificial Intelligence and Machine Learning, Vol.(6), Issue (2), June 2006, pp.27-33.

  • Nishchal K. Verma, Abhishek Roy and Sitanshu Gupta, Color Segmentation Using Improved Mountain Clustering Technique Version-2, Accepted for publication in Second IEEE International Conference on Intelligent Human Computer Interaction (IHCI-2010), IIIT Alahabad, India.

  • Nishchal K. Verma, Payal Gupta, Pooja Agrawal and Yan Cui, Fuzzy Rule Based Unsupervised Approach for Salient Gene Extraction, Accepted for publication in 2009 IEEE Applied Imagery Pattern Recognition International Conference Washington DC,USA.

  • Nishchal K. Verma, Payal Gupta, Pooja Agrawal and Yan Cui, MRI Brain Image Segmentation for Spotting Tumors Using Improved Mountain Clustering Approach, Accepted for publication in 2009 IEEE Applied Imagery Pattern Recognition International Conference Washington DC,USA.

  • Nishchal K. Verma, Abhishek Roy, Sitanshu Gupta and Yan Cui, Improved Mountain Clustering Technique for Microarray Data, Accepted for publication in Joint International Conference on Applied Systems Research and XXXIII National Systems Conference DEI Dayalbagh Agra, India.

  • Nishchal K. Verma, Payal Gupta, Pooja Agrawal, M. Hanmandlu, S. Vasikarla and Yan Cui, Medical Image Segmentation Using Improved Mountain Clustering Approach, Accepted for publication in The 6th IEEE International Conference on Information Technology - New Generation, ITNG 2009.

  • Nishchal K. Verma and M. Hanmandlu, Non-additive Generalized Fuzzy System Under the Frame-work of Cluster weighted Model, in Proceedings of International Conference on AIML-06, Sharm Elsheikh, Egypt, 13-15 June 2006.

  • Nishchal K. Verma, M. Hanmandlu and Nesar Ahmad, Cluster-Weighted Modeling for An Interactive Fuzzy System, in Proceedings of CERA 2005, An International Conference, Vol.2, IIT. Roorkee, India.

  • Ajay Chowdhari, Madasu Hanmandlu and Nishchal K. Verma, Mesh Based Clustering Without Stopping Criterrion, in Proceedings of IEEE Indicon 2005 Conference, Chennai, India, 11-13 Dec. 2005, pp.530-534.

  • Madasu Hanmandlu, Nishchal K. Verma, Nesar Ahmad and Shantaram Vasikarla, Cluster Weighted Modeling as a basis for Non-additive GFM, The 2005 IEEE International Conference on Fuzzy Systems, May22-25, Reno, USA, pp. 252-257


+ - Faculty Click to collapse

  • Dr. Nishchal K Verma


+ - MTech Students Click to collapse

  • Prateek Tamraka


+ - Photos Click to collapse


+ - Contact Person Click to collapse
 

Dr. Nishchal K Verma
Location: ACES 103, IIT Kanpur