Qualification: 
M.Tech, BE
t_bagyammal@cb.amrita.edu

Bagyammal T. currently serves as Assistant Professor at the department of Computer Science and Engineering, School of Engineering, Coimbatore Campus. Her areas of research includes Image Processing, Image Retrieval and Video Processing.

Awards and Recognitions

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

Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2018

Journal Article

M. Muthugnanambika, Bagyammal T., Parameswaran, L., and Vaiapury, K., “An automated vision based change detection method for planogram compliance in retail stores”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 399-411, 2018.[Abstract]


Planogram are visual representations of a store’s products and services designed to help retailers ensure that the right merchandise is consistently on display, and that inventory is controlled at a level that guarantees that the right number of products are on each and every shelf. The main objective of this work is to propose an algorithm using image processing and machine learning as its base to find and detect the changes in the arrangement of objects present in the retail stores. The proposed algorithm is capable of identifying void space, count objects of similar type and thus helps in tracking the changes. Blob detection superseded by classification using a discriminative machine learning approach with the extracted statistical features of the objects has been used in this proposed algorithm. Experimental results are quite promising and hence this algorithm can be used to detect any changes occurring in a scene. © 2018, Springer International Publishing AG.

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2015

Journal Article

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.[Abstract]


In this paper we present a securable image watermarking process for the user authentication as an android application. This system is built to protect personal and official images of a person that are captured using his/her own phone. The user can choose the types of watermark that he/she wants. The proposed system requires less battery consumption and processing time. © 2015, Research India Publications.

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Faculty Research Interest: 
207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS