| I completed my Ph.D. in image processing in Hindustan University. I worked for an NRB funded project titled "Intelligent System for Adaptive Enhancement of Underwater Images for Accurate Object Recognition". Currently, I am working as a Technical lead for HCL Technologies. My research areas include image processing/computer vision, soft computing, artificial intelligence etc., in specific fuzzy image enhancement, denoising, pca based image segmentation and compression, artificial neural networks, fuzzy neural networks, deep learning etc. I am currently working in Matlab, Python and OpenCV. |
- Presented
a paper entitled “A comparative study of wavelet coders for image
compression” by PL. Chithra and K. Srividhya in the first International
Conference on Mining Intelligence and Knowledge Exploration (MIKE 2013).
It has been published in the Springer Lecture Notes in Computer
Science.
- Presented
a paper entitled "Performance analysis of pre-processing filters for
underwater images" by K. Srividhya and M. M. Ramya in
the INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION, CONTROL AND
EMBEDDED SYSTEMS, RACE2015, in Feb 2015, available in the IEEE XPlore
digital library.
- K.
Srividhya and M.M. Ramya, 2016. Fuzzy Based Adaptive Contrast Enhancement
of Underwater Images. Research Journal of Information Technology, 8:
29-38.
- K.
Srividhya and M.M. Ramya, Fuzzy Based Adaptive Denoising of Underwater
Images, International Journal of Fuzzy Systems, Springer publishing, 2017 doi:10.1007/s40815-016-0281-y.
- K.
Srividhya and M.M. Ramya, Accurate Object recognition in the Underwater
Images Using Backpropagation Neural Network and Texture Features, Multimedia
Tools and Applications, Springer publishing, 2017.
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