Dr. V. P. Ananthi
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Dr. V. P. Ananthi

Researcher
Deemed University, India

Highest Degree
Ph.D. in Mathematics from Deemed University, India

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Area of Interest:

Computer Sciences
100%
Applied Mathematics
62%
Computer Programming
90%
Soft Computing
75%
Data Mining
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Ananthi, V.P., P. Balasubramaniam and P. Raveendran, 2017. A thresholding method based on interval-valued intuitionistic fuzzy sets: An application to image segmentation. Pattern Anal. Applic. (In Press). .
  2. Ananthi, V.P. and P. Balasubramaniam, 2017. Image fusion by improving the contrast of the fusing images using fuzzy sets. Global J. Pure Applied Math. (In Press). .
  3. Balasubramaniam, P. and V.P. Ananthi, 2016. Segmentation of nutrient deficiency in incomplete crop images using intuitionistic fuzzy c-means clustering algorithm. Nonlinear Dynamics, 83: 849-866.
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  4. Ananthi, V.P. and P. Balasubramaniam, 2016. A new thresholding technique based on fuzzy set as an application to leukocyte nucleus segmentation. Comput. Meth. Programs Biomed., 134: 165-177.
  5. Ananthi, V.P. and P. Balasubramaniam, 2015. Image fusion using interval-valued intuitionistic fuzzy sets. Int. J. Image Data Fusion, 6: 249-269.
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  6. Balasubramaniam, P. and V.P. Ananthi, 2014. Image fusion using intuitionistic fuzzy sets. Inform. Fusion, 20: 21-30.
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  7. Ananthi, V.P., P. Balasubramaniam and C.P. Lim, 2014. Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions. Pattern Recogn., 47: 3870-3880.
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  8. Balasubramaniam, P. and V.P. Ananthi, 2013. Segmentation of Crop Nutrient Deficiency Using Intuitionistic Fuzzy C-Means Color Clustering Algorithm. Springer, Germany.