| Comparison of filters used for underwater image pre-processing G Padmavathi, P Subashini, MM Kumar, SK Thakur International Journal of Computer Science and Network Security 10 (1), 58-65, 2010 | 115 | 2010 |
| Automatic identification of algal community from microscopic images N Santhi, C Pradeepa, P Subashini, S Kalaiselvi Bioinformatics and biology insights 7, BBI. S12844, 2013 | 40 | 2013 |
| Optimized adaptive thresholding based edge detection method for MRI brain images S Jansi, P Subashini International Journal of Computer Applications 51 (20), 2012 | 29 | 2012 |
| Synergistic fibroblast optimization: a novel nature-inspired computing algorithm TT Dhivyaprabha, P Subashini, M Krishnaveni Frontiers of Information Technology & Electronic Engineering 19, 815-833, 2018 | 25 | 2018 |
| Performance analysis of Non Linear Filtering Algorithms for underwater images DG Padmavathi, DP Subashini, MMM Kumar, SK Thakur arXiv preprint arXiv:0912.1005, 2009 | 25 | 2009 |
| Deep mixed model for marginal epistasis detection and population stratification correction in genome-wide association studies H Wang, T Yue, J Yang, W Wu, EP Xing BMC bioinformatics 20, 1-11, 2019 | 24 | 2019 |
| Performance evaluation of the various edge detectors and filters for the noisy IR images G Padmavathi, P Subashini, PK Lavanya 2nd International Conference on Sensors, Signals, Visualization, Imaging …, 2009 | 24 | 2009 |
| Empirical evaluation of suitable segmentation algorithms for IR images G Padmavathi, P Subashini, A Sumi International Journal of Computer Science Issues (IJCSI) 7 (4), 22, 2010 | 23 | 2010 |
| Synergistic fibroblast optimization P Subashini, TT Dhivyaprabha, M Krishnaveni Artificial Intelligence and Evolutionary Computations in Engineering Systems …, 2017 | 22 | 2017 |
| Computational intelligence based machine learning methods for rule-based reasoning in computer vision applications TT Dhivyaprabha, P Subashini, M Krishnaveni 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2016 | 21 | 2016 |
| Modified FCM using genetic algorithm for segmentation of MRI brain images S Jansi, P Subashini 2014 IEEE International Conference on Computational Intelligence and …, 2014 | 21 | 2014 |
| A study on detection and classification of underwater mines using neural networks S Geethalakshmi, P Subashini, S Ramya Int. J. Soft Comput. Eng. IJSCE 1 (5), 150-157, 2006 | 21 | 2006 |
| Texture based color segmentation for infrared river ice images using K-means clustering PT Bharathi, P Subashini 2013 International Conference on Signal Processing, Image Processing …, 2013 | 18 | 2013 |
| Optimization of image processing techniques using neural networks: a review PT Bharathi, P Subashini WSEAS Transactions on Information Science and Applications 8 (8), 300-328, 2011 | 18 | 2011 |
| Optimal feature subset selection using differential evolution and extreme learning machine PT Bharathi, P Subashini Int. J. Sci. Res 3 (7), 1898-1905, 2014 | 17 | 2014 |
| Monitoring winter ice conditions using thermal imaging cameras equipped with infrared microbolometer sensors J Light, S Parthasarathy, W McIver Procedia Computer Science 10, 1158-1165, 2012 | 17 | 2012 |
| Combining Zernike moments with regional features for classification of handwritten ancient tamil scripts using extreme learning machine N Sridevi, P Subashini 2013 IEEE International Conference ON Emerging Trends in Computing …, 2013 | 16 | 2013 |
| Image deblurring using back propagation neural network P Subashini, M Krishnaveni, V Singh World Comp Sci Inf Technol J 1 (6), 277-282, 2011 | 16 | 2011 |
| A New Optimization Approach – SFO for Denoising Digital Images TTD M. Krishnaveni, P. Subashini IEEE International Conference on Computational Systems & Information …, 2016 | 15* | 2016 |
| Automatic noise identification in images using statistical features P Subashini, PT Bharathi International Journal for Computer Science and Technology 2 (3), 467-471, 2011 | 15 | 2011 |
