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Dr. Raghesh Krishnan K.

Assistant Professor (Sl.Gd.), School of Computing, Coimbatore

Qualification: M.Tech.
k_raghesh@cb.amrita.edu
Raghesh Krishnan K's Google Scholar Profile
Research Interest: Biomedical Image Classification with NLP, Image Processing

Bio

Dr. Raghesh Krishnan K. currently serves as Assistant Professor (Sl.Gd.) in the department of Computer science, Amrita School of Engineering, Coimbatore Campus. His areas of research include Image Processing and Biomedical Image Classification. .

 

Publications

Journal Article

Year : 2020

Particle swarm optimization-based liver disorder ultrasound image classification using multi-level and multi-domain features

Cite this Research Publication : K. Raghesh Krishnan, Radhakrishnan, S., and Kattuva, M. Abdul Kadh, “Particle swarm optimization-based liver disorder ultrasound image classification using multi-level and multi-domain features”, International Journal of Imaging Systems and Technology, vol. n/a, 2020.

Publisher : International Journal of Imaging Systems and Technology

Year : 2019

Dynamic Control of Traffic Signals using Traffic Data from Google Maps and Road Cameras

Cite this Research Publication : A. Muthupalaniappan, B Nair, S., Rajan, R. Arumuga, and K. Raghesh Krishnan, “Dynamic Control of Traffic Signals using Traffic Data from Google Maps and Road Cameras”, International Journal of Recent Technology and Engineering (IJRTE) , vol. 8, no. 2S3, 2019.

Publisher : International Journal of Recent Technology and Engineering (IJRTE)

Year : 2018

Tensor Flow Based Analysis and Classification of Liver Disorders from Ultrasonography Images

Cite this Research Publication : K. Raghesh Krishnan, Midhila, M., and R., S., “Tensor Flow Based Analysis and Classification of Liver Disorders from Ultrasonography Images”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 734-743, 2018.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2017

Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features

Cite this Research Publication : K. Raghesh Krishnan and Radhakrishnan, S., “Hybrid approach to classification of focal and diffused liver disorders using ultrasound images with wavelets and texture features”, IET Image Processing, vol. 11, pp. 530-538, 2017.

Publisher : IET Image Processing, Institution of Engineering and Technology,

Year : 2015

Focal and diffused liver disease classification from ultrasound images based on isocontour segmentation

Cite this Research Publication : K. Raghesh Krishnan and Radhakrishnan, S., “Focal and diffused liver disease classification from ultrasound images based on isocontour segmentation”, IET Image Processing, vol. 9, pp. 261-270, 2015.

Publisher : IET Image Processing

Year : 2014

Processing and Interpreting Water bodies and Road Networks from Satellite Images and storing them as QR Codes

Cite this Research Publication : M. Sarma, Somanath, A., and K. Raghesh Krishnan, “Processing and Interpreting Water bodies and Road Networks from Satellite Images and storing them as QR Codes”, International Journal of Scientific & Engineering Research, vol. 5, no. 5, pp. 1285 – 1291, 2014.

Publisher : International Journal of Scientific Engineering Research

Conference Proceedings

Year : 2020

Analyzing Underwater Videos for Fish Detection, Counting and Classification

Cite this Research Publication : D. G. Lakshmi and K. Raghesh Krishnan, “Analyzing Underwater Videos for Fish Detection, Counting and Classification”, Computational Vision and Bio-Inspired Computing, International Conference On Computational Vision and Bio Inspired Computing ICCVBIC 2019. Springer International Publishing, Cham, 2020.

Publisher : Computational Vision and Bio-Inspired Computing, International Conference On Computational Vision and Bio Inspired Computing ICCVBIC 2019, Springer International Publishing

Year : 2017

A Study of the Phases of Classification of Liver diseases from Ultrasound Images and Gray Level Difference Weights based Segmentation

Cite this Research Publication : M. M. and K. Raghesh Krishnan, “A Study of the Phases of Classification of Liver diseases from Ultrasound Images and Gray Level Difference Weights based Segmentation”, IEEE Digital Library, 2017 International Conference on Communication and Signal Processing (ICCSP). IEEE, Chennai, India, 2017.

Publisher : IEEE Digital Library, 2017 International Conference on Communication and Signal Processing (ICCSP)

Year : 2017

A Study of the Phases of Classification of Liver diseases from Ultrasound Images and Gray Level Difference Weights based Segmentation

Cite this Research Publication : M. M. and K. Raghesh Krishnan, “A Study of the Phases of Classification of Liver diseases from Ultrasound Images and Gray Level Difference Weights based Segmentation”, IEEE Digital Library, 2017 International Conference on Communication and Signal Processing (ICCSP). IEEE, Chennai, India, 2017.

Publisher : IEEE Digital Library, 2017 International Conference on Communication and Signal Processing (ICCSP)

Year : 2013

Automatic Classification of Liver Diseases from Ultrasound Images Using GLRLM Texture Features

Cite this Research Publication : K. Raghesh Krishnan and Sudhakar, R., “Automatic Classification of Liver Diseases from Ultrasound Images Using GLRLM Texture Features”, Advances in Intelligent Systems and Computing, vol. 195 AISC. pp. 611-624, 2013.


Publisher : Advances in Intelligent Systems and Computing

Year : 2011

A Hybrid Approach to Content Based Image Retrieval using Visual Features and Textual Queries

Cite this Research Publication : R. Sudhakar, K. Raghesh Krishnan, and Muthukrishnan, S., “A Hybrid Approach to Content Based Image Retrieval using Visual Features and Textual Queries”, International Conference on Advanced Computing (ICOAC 2011) . IEEE, Chennai, India, 2011.

Publisher : IEEE

Year : 2011

Automatic Isolation and Classification of Vehicles in a Traffic Video

Cite this Research Publication : R. Aarthi, Chinnaswamy, A., and K. Raghesh Krishnan, “Automatic Isolation and Classification of Vehicles in a Traffic Video”, Proceedings of the 2011 World Congress on Information and Communication Technologies (WICT 2011). Mumbai, India., pp. 357-361, 2011.

Publisher : Proceedings of the 2011 World Congress on Information and Communication Technologies (WICT 2011)

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