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Dr. Bagyammal T.

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

Qualification: BE, M.Tech., Ph.D
t_bagyammal@cb.amrita.edu
Research Interest: Image Processing, Image Retrieval, Video Processing

Bio Publications Awards and Recognitions
Bio

Dr. Bagyammal T. currently serves as an Assistant Professor (Sl.Gd.) at the School of Computing, Coimbatore Campus. Her areas of research include Image Processing, Image Retrieval, and Video Processing. She has completed her Ph. D. thesis titled “Design and Development of a Suite of Algorithms for Change Detection in Images and Videos”

Publications

Journal Article

Year : 2024

A deep learning and transfer learning model for intra-change detection in images

Cite this Research Publication : Thirumurthy, Bagyammal, Latha Parameswaran, and Karthikeyan Vaiapury. "A deep learning and transfer learning model for intra-change detection in images." The Journal of Supercomputing (2024).

Publisher : Springer

Year : 2022

American Sign Language Recognition for Alphabets Using MediaPipe and LSTM

Cite this Research Publication : Sundar, B., and T. Bagyammal. "American sign language recognition for alphabets using MediaPipe and LSTM." Procedia Computer Science 215 (2022).

Publisher : Elsevier

Year : 2018

Visual-based change detection in scene regions using statistical-based approaches

Cite this Research Publication : Bagyammal T., Dr. Latha Parameswaran, and Vaiapury, K., “Visual-based Change Detection in Scene Regions using Statistical-based Approaches”, Journal of Electronic Imaging, vol. 27, pp. 1 – 11, 2018.

Publisher : Journal of Electronic Imaging

Year : 2015

Blind watermarking for the images captured by android mobiles

Cite this Research Publication : M. K. Vineeth, Arafath, A. B. Yazir, Dhanya M. Dhanalakshmy, and Bagyammal T., “Blind watermarking for the images captured by android mobiles”, International Journal of Applied Engineering Research, vol. 10, no. 55, pp. 2733-2736, 2015.

Publisher : International Journal of Applied Engineering Research

Conference Paper

Year : 2022

Anomaly Detection in Thermal Images of Perishable Items Using Deep Learning

Cite this Research Publication : Ramyapriyanandhini, G., T. Bagyammal, Latha Parameswaran, and Karthikeyan Vaiapury. "Anomaly detection in thermal images of perishable items using deep learning." In International Conference on Micro-Electronics and Telecommunication Engineering, pp. 647-659. Singapore: Springer Nature Singapore, 2021.

Publisher : Springer

Year : 2022

Intra Change Detection in Shelf Images Using Fast Discrete Curvelet Transform and Features from Accelerated Segment Test

Cite this Research Publication : Bagyammal, T., Parameswaran Latha, and Vaiapury Karthikeyan. "Intra change detection in shelf images using fast discrete curvelet transform and features from accelerated segment test." In High Performance Computing and Networking: Select Proceedings of CHSN 2021, pp. 235-245. Singapore: Springer Singapore, 2022.

Publisher : Springer

Book Chapter

Year : 2024

Recent trends in human- and bioinspired computing: Use-case study from a retail perspective

Cite this Research Publication : Vaiapury, Karthikeyan, Latha Parameswaran, Sridharan Sankaran, Srihari Veeraraghavan, Meril Sakaria, Gomathi Ramasamy, and Bagyammal Thirumurthy. "Recent trends in human-and bioinspired computing: Use-case study from a retail perspective." (2024).

Publisher : Academic Press Inc

Year : 2021

An Algorithm Design for Anomaly Detection in Thermal Images

Cite this Research Publication : C. Mishra, Bagyammal T., and Parameswaran, L., “An Algorithm Design for Anomaly Detection in Thermal Images”, in Innovations in Electrical and Electronic Engineering, M. N. Favorskaya, Mekhilef, S., Pandey, R. Kumar, and Singh, N., Eds. Singapore: Springer Singapore, 2021.

Publisher : Innovations in Electrical and Electronic Engineering

Year : 2018

An automated vision based change detection method for planogram compliance in retail stores

Cite this Research Publication : M. Muthugnanambika, Bagyammal T., Dr. Latha Parameswaran, and Vaiapury, K., “An automated vision based change detection method for planogram compliance in retail stores”, in Lecture Notes in Computational Vision and Biomechanics, vol. 28, Springer Netherlands, 2018, pp. 399-411.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Awards and Recognitions
  1. BRONZE partner faculty under Inspire- The Campus Connect Faculty Partnership Model – Faculty award by Infosys Technologies, Mysore @ 2018.
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