P. Shanmugavadivu - researchr alias

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Viewing Publication 1 - 11 from 11

2024

Performance Assessment of Deep Learning Models on Non-Small Cell Lung Cancer Type ClassificationK. Ezhilraja, P. Shanmugavadivu. phat, 10, 2024. [doi]

Alzheimer's Disease Detection in MRI images using Deep Convolutional Neural Network ModelS. Naganandhini, P. Shanmugavadivu. phat, 10, 2024. [doi]

2018

An Exploratory Analysis of Speckle Noise Removal Methods for Satellite ImagesA. Shanthasheela, P. Shanmugavadivu. eeet 2018: 217-222 [doi]

2016

FOSIR: Fuzzy-Object-Shape for Image Retrieval applicationsP. Shanmugavadivu, P. Sumathy, A. Vadivel. ijon, 171:719-735, 2016. [doi]

2015

Fuzzy Shape of Objects in Images with Similarity Measure for Image Retrieval ApplicationsP. Sumathy, P. Shanmugavadivu, A. Vadivel. ijcvip, 5(2):58-80, 2015. [doi]

2014

Ranking images in web documents based on HTML TAGs for image retrieval from WWWP. Shanmugavadivu, P. Sumathy, A. Vadivel. ijcistudies, 3(2/3):176-195, 2014. [doi]

Particle swarm optimized bi-histogram equalization for contrast enhancement and brightness preservation of imagesP. Shanmugavadivu, K. Balasubramanian, A. Muruganandam. vc, 30(4):387-399, 2014. [doi]

Thresholded and Optimized Histogram Equalization for contrast enhancement of imagesP. Shanmugavadivu, K. Balasubramanian. cee, 40(3):757-768, 2014. [doi]

2013

Segmentation of Microcalcifications in Digital Mammogram Images Using Intensity Modified BlackTop-Hat Transformation and Gauss DistributionP. Shanmugavadivu, S. G. Lakshmi Narayanan. mike 2013: 234-240 [doi]

Boundary Detection of Objects in Digital Images Using Bit-Planes and Threshold Modified Canny MethodP. Shanmugavadivu, Ashish Kumar. mike 2013: 192-200 [doi]

2012

Intensity-Based Detection of Microcalcification Clusters in Digital Mammograms using Fractal DimensionP. Shanmugavadivu, V. Sivakumar. socpros 2014: 1293-1299 [doi]

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