Krishnamoorthy Ramasamy

Scopus Publications

A blockchain based patient centric electronic health record storage and integrity management for e-Health systems
Mrs. USHARANI CHELLADURAI, Dr. Seethalakshmi Pandian, Dr. Krishnamoorthy Ramasamy
Health Policy and Technology, 2021
Edge detection using Chebyshev's orthogonal polynomial and brain extraction from magnetic resonance images of human head
K. Somasundaram, P. A. Kalaividya, T. Kalaiselvi, R. Krishnamoorthy, S. Praveenkumar
International Journal of Imaging Systems and Technology, 2019
In this article, we propose a new edge detecting method based on the transform coefficients obtained by a point spread function constructed out of Chebyshev's orthogonal polynomials. This edge detector finds edges similar to that of Prewitt and Roberts but is robust against additive and multiplicative noises. We also propose a new scheme to extract brain portion from the magnetic resonance images (MRI) of human head scan by making use of the of the new edge detector. The proposed scheme involves edge detection, morphological operations, and largest connected component analysis. Experiments conducted by applying the proposed scheme on 19 volumes of MRI collected from Internet Brain Segmentation Repository (IBSR) show that the proposed brain extraction scheme performed better than the popular Brain Extraction Tool (BET). The performance of the proposed scheme is measured by computing the Dice coefficient (D) and Jaccard similarity index (J). The proposed method produced a value of 0.9068 for D and 0.8321 for J.
Automated Traffic Monitoring Using Image Vision
R. Krishnamoorthy, Sethu Manickam
Proceedings of the International Conference on Inventive Communication and Computational Technologies Icicct 2018, 2018
The process of traffic monitoring is predominantly carried out manually in our country. Traffic monitoring encompasses a set of stringent rules to be followed while ensuring that there are no traffic jams at the juncture of roads. In this paper, a novel method is proposed to automate the traffic signal lights with the assistance of multiple CCTV cameras connected over the Internet to survey various roads at the junction. The process comprises two primary phases: Vehicle Detection System and Traffic Scheduling Algorithm. Vehicle Detection shall be carried out in Digital Image Processing (DIP) by applying a simple kernel-based Edge Detection in Spatial Domain followed by an algorithm to detect the perimeter of closed figures while simultaneously applying the concepts of Machine Learning to classify the vehicle type into the following categories of motorcycle, light motor vehicle, and heavy motor vehicle. Subsequent processes are carried out in a novel Traffic Scheduling Algorithm through the help of a hybrid Round Robin having a dynamic time slice obtained by using Longest Remaining Job First to periodically update the traffic signal lights to relax the traffic. Instead of turning on the green light for a fixed amount of time, the duration will be managed dynamically based on the amount of traffic in each road. Thus, the proposed system is aimed at reducing the jamming of roads by a huge extent.
Motion Estimation and Compensation in Frequency Domain
R. Krishnamoorthy, P. Archana, V. Hema Priya, K. Akshaya
Proceedings of the International Conference on Inventive Communication and Computational Technologies Icicct 2018, 2018
In this paper, a novel method for motion estimation and compensation in frequency domain for the purpose of video compression is proposed. The proposed scheme is based on the coefficients of frequency domain obtained from the image blocks after the application of Orthogonal Polynomials Transformation (OPT). It uses the three-step search algorithm to estimate the search area for finding the best match in the subsequent frame with respect to each block in the current frame. The quality of match found will be contingent upon the value of Mean Absolute Difference, more commonly known as MAD, between the blocks. The motion vectors produced during motion estimation are utilized in the motion compensation process in order to produce the predicted frame for subsequent compression. The performance of the proposed scheme is experimented with good number of standard video and measured with Mean Square Error (MSE). The results are encouraging.
A secure cloud-based multi-agent intelligent system for mammogram image diagnosis
S.R. Bhavani, A. Chilambuchelvan, J. Senthilkumar, D. Manjula, R. Krishnamoorthy, A. Kannan
International Journal of Biomedical Engineering and Technology, 2018
Significant and radical improvements in the healthcare industry today have facilitated the monitoring of patients through the internet. Breast cancer has become a widespread malaise across the globe, with many dependent on the internet for a diagnosis. A range of emerging technologies such as artificial intelligence, cloud computing and big data have been adopted in cancer diagnosis. Of late, a new framework for a cloud-based, multi-agent system to support secure intelligent mammogram image diagnosis for breast cancer detection has been developed. There is, as yet, not fully automated, generic, multi-agent intervention system with a cloud infrastructure for breast cancer patients, and implementation guidelines are, at best, deficient. The objective of this study is to enhance diagnostic performance, and increase scalability, response time and throughput. It is found that it has a high ratio of acceptance from users and attains superior sensitivity of up to 99.25% and accuracy of up to 99.0%.
A Systematic Analysis of Transform Coefficients and Block Decomposition for Texture Enhancement with Orthogonal Polynomials Model
Krishnamoorthy Ramasamy, Devasena Ganesan
IEEE Transactions on Systems Man and Cybernetics Systems, 2017
Although numerous image enhancement techniques have been reported in the literature, enhancing a specific feature of an image is a challenging task and requires careful study. With that said, a novel threefold texture enhancement technique in the orthogonal polynomials transformed domain is proposed in this paper, by identifying the contribution of coefficients toward particular low-level characteristics. In the first fold, a systematic semantic analysis of orthogonal polynomials transformed coefficients is carried out in terms of the response of the basis operators and the directional properties of the coefficients are identified. A block decomposition scheme is then proposed with Meyer’s model and blocks with different low-level characteristics are identified. In the second fold, an adaptive brightness adjustment scheme is proposed for nontextured blocks. In the case of texture blocks, besides brightness adjustments, a texture sharpening scheme based on the modification of the ac transform coefficients is proposed as the third fold. The proposed texture enhancement scheme is experimented on the standard benchmark University of Illinois at Urbana-Champaign images. The performance of the proposed texture enhancement scheme is measured with standard measures and compared with existing schemes. The results are encouraging.
Reduction of blocking artifact in JPEG images with orthogonal polynomials
R. Krishnamoorthy, S. Thennavan
Applied Mathematics and Information Sciences, 2017
A selective image encryption based on square-wave shuffling with orthogonal polynomials transformation suitable for mobile devices
R. Krishnamoorthi, P. Murali
Multimedia Tools and Applications, 2017
Trade off between variable and fixed size normalization in orthogonal polynomials based iris recognition system
R. Krishnamoorthi, G. Anna Poorani
Springerplus, 2016
Iris normalization is an important stage in any iris biometric, as it has a propensity to trim down the consequences of iris distortion. To indemnify the variation in size of the iris owing to the action of stretching or enlarging the pupil in iris acquisition process and camera to eyeball distance, two normalization schemes has been proposed in this work. In the first method, the iris region of interest is normalized by converting the iris into the variable size rectangular model in order to avoid the under samples near the limbus border. In the second method, the iris region of interest is normalized by converting the iris region into a fixed size rectangular model in order to avoid the dimensional discrepancies between the eye images. The performance of the proposed normalization methods is evaluated with orthogonal polynomials based iris recognition in terms of FAR, FRR, GAR, CRR and EER.
A simple computational framework for defect detection system with orthogonal polynomials transcoded coefficients
Ramasamy Krishnamoorthy, Mani Ganesh
Journal of Visual Communication and Image Representation, 2016
An improved agglomerative clustering algorithm for outlier detection
Krishnamoorthy R, Sreedhar Kumar S
Applied Mathematics and Information Sciences, 2016
Image defect identification with orthogonal polynomials model
Asian Journal of Information Technology, 2016
Color image retrieval technique with local features based on orthogonal polynomials model and SIFT
J. Kalpana, R. Krishnamoorthi
Multimedia Tools and Applications, 2016
Optimized cluster validation technique for unsupervised clustering techniques
R. Krishnamoorthy, S. Sreedhar Kumar
2014 International Conference on Information Communication and Embedded Systems Icices 2014, 2015
A novel feature selection and discretization algorithm to support medical image diagnosis with efficiency
International Journal of Soft Computing, 2015
CIMidx: Prototype for a cloud-based system to support intelligent medical image diagnosis with efficiency
Selvaraj Rani Bhavani, Jagatheesan Senthilkumar, Arul Gnanaprakasam Chilambuchelvan, Dhanabalachandran Manjula, Ramasamy Krishnamoorthy, Arputharaj Kannan
Jmir Medical Informatics, 2015
A new approach for data cleaning process
R. Krishnamoorthy, S. Sreedhar Kumar, Basavaraj Neelagund
International Conference on Recent Advances and Innovations in Engineering Icraie 2014, 2014
A new inter cluster validation method for unsupervised clustering techniques
R. Krishnamoorthy, S. Sreedhar Kumar
2013 International Conference on Communication and Computer Vision Icccv 2013, 2014
Chaos based image encryption with orthogonal polynomials model and bit shuffling
R. Krishnamoorthi, P. Murali
2014 International Conference on Signal Processing and Integrated Networks Spin 2014, 2014
Fast retrieval of color objects with multidimensional orthogonal polynomials
R. Krishnamoorthy, J. Kalpana
Multidimensional Systems and Signal Processing, 2014
Shape based image classification and retrieval with multiresolution enhanced orthogonal polynomial model
S. Sathiya Devi, R. Krishnamoorthi
Advances in Intelligent Systems and Computing, 2014
Low bit-rate multi stage vector quantization based on energy clustered training set
R. Krishnamoorthy, R. Punidha
Multimedia Tools and Applications, 2014
Multi class multi label based Fuzzy associative classifier with genetic rule selection for coronary heart disease risk level prediction
International Review on Computers and Software, 2014
User interest estimation using behavior monitoring measure
International Journal of Soft Computing, 2013
A simple computational model for image retrieval with weighted multifeatures based on orthogonal polynomials and genetic algorithm
R. Krishnamoorthi, S. Sathiya Devi
Neurocomputing, 2013
Effect of various CODEC parameters on the performance of modified Max-Log-MAP turbo decoding algorithm
Wseas Transactions on Communications, 2013
Rotation invariant texture image retrieval with orthogonal polynomials model
R. Krishnamoorthi, S. Sathiya Devi
Intelligent Computer Vision and Image Processing Innovation Application and Design, 2013
An edge preserving requantization model for color image coding with orthogonal polynomials
R. Krishnamoorthy, R. Punidha
Digital Signal Processing A Review Journal, 2013
Edge based texture synthesis with orthogonal polynomials model
R. Krishnamoorthy, M. Ganesh
Proceedings 2013 International Conference on Emerging Trends in Communication Control Signal Processing and Computing Applications IEEE C2spca 2013, 2013
Modified Max-Log-MAP turbo decoding algorithm using optimized scaling factor
R. Krishnamoorthy, N. S. Pradeep
2013 International Conference on Recent Trends in Information Technology Icrtit 2013, 2013
Edge based shape feature for image retrieval with multiresolution enhanced orthogonal polynomials model
Proceedings of the 2013 International Conference on Image Processing Computer Vision and Pattern Recognition Ipcv 2013, 2013
Image retrieval using edge based shape similarity with multiresolution enhanced orthogonal polynomials model
R. Krishnamoorthy, S. Sathiya Devi
Digital Signal Processing A Review Journal, 2013
Iris texture feature extraction with orthogonal polynomials
Proceedings of the 2013 International Conference on Image Processing Computer Vision and Pattern Recognition Ipcv 2013, 2013
Web service based feature selection and discretization with efficiency
J. Senthilkumar, S. Karthikeyan, D. Manjula, R. Krishnamoorthy
Proceedings IEEE 6th International Conference on Semantic Computing ICSC 2012, 2012
Generalized adaptive Bayesian Relevance Feedback for image retrieval in the Orthogonal Polynomials Transform domain
J. Kalpana, R. Krishnamoorthy
Signal Processing, 2012
Multi resolution enhanced orthogonal polynomilas based autocorrelogram for color image retrieval
Proceedings of the 2012 International Conference on Image Processing Computer Vision and Pattern Recognition Ipcv 2012, 2012
Orthogonal polynomials based low bit rate image coding
T. Karthikeyan, R. Krishnamoorthy, B. Praburaj
2012 International Conference on Machine Vision and Image Processing Mvip 2012, 2012
An orthogonal polynomials transform-based variable block size adaptive vector quantisation for colour image coding
R. Krishnamoorthy, R. Punidha
Iet Image Processing, 2012
Indexing and retrieval of visually similar images in the orthogonal polynomials transform domain
R. Krishnamoorthy, J. Kalpana
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
A simple boundary extraction technique for irregular pupil localization with orthogonal polynomials
R. Krishnamoorthi, G. Annapoorani
Computer Vision and Image Understanding, 2012
New optimized agglomerative clustering algorithm using multilevel threshold for finding optimum number of clusters on large data set
IEEE Proceedings of the International Conference on Emerging Trends in Science Engineering and Technology Recent Advancements on Science and Engineering Innovation Incoset 2012, 2012
Object level frame comparison for video shot detection with orthogonal polynomials model
IEEE Proceedings of the International Conference on Emerging Trends in Science Engineering and Technology Recent Advancements on Science and Engineering Innovation Incoset 2012, 2012
Texture synthesis using spiral algorithm with orthogonal polynomials model
IEEE Proceedings of the International Conference on Emerging Trends in Science Engineering and Technology Recent Advancements on Science and Engineering Innovation Incoset 2012, 2012
Symmetric image encryption scheme based on multiple chaotic maps
IEEE Proceedings of the International Conference on Emerging Trends in Science Engineering and Technology Recent Advancements on Science and Engineering Innovation Incoset 2012, 2012
A multiresolution approach for rotation invariant texture image retrieval with orthogonal polynomials model
R. Krishnamoorthi, S. Sathiya devi
Journal of Visual Communication and Image Representation, 2012
Weighted multi feature based image retrieval with orthogonal polynomials model and genetic algorithm
Krishnamoorthi Ramasamy, Sathiya Devi Shanmugam
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2012
IRS: Intelligent recommendation system for web personalization
European Journal of Scientific Research, 2011
Fast requantization using self organizing feature map with orthogonal polynomials transform
R. Krishnamoorthy, R. Punidha
ACM International Conference Proceeding Series, 2011
Fast and iterative algorithm for iris detection with orthogonal polynomials transform
R. Krishnamoorthy, D. Indradevi
ACM International Conference Proceeding Series, 2011
Minimum distortion clustering technique for orthogonal polynomials transform vector quantizer
R. Krishnamoorthy, J. Kalpana
ACM International Conference Proceeding Series, 2011
Low-bit-rate lossless image coding using classified vector quantization with orthogonal polynomials transform
R. Krishnamoorthy, K. Rajavijayalakshmi, R. Punidha
ACM International Conference Proceeding Series, 2011
Time-aware and weighted fault severity based metrics for test case prioritization
S. A. SAHAAYA ARUL MARY, R. KRISHNAMOORTHI
International Journal of Software Engineering and Knowledge Engineering, 2011
FITVQSPC: Fast and improved transformed vector quantization using static pattern clustering
R. Krishnamoorthy, R. Punidha
Communications in Computer and Information Science, 2010
Advanced version of a riori algorithm
K.R. Suneetha, R. Krishnamoorti
Proceedings 1st International Conference on Integrated Intelligent Computing Iciic 2010, 2010
Extracting users pattern from web log data using decision tree and association rule
R. Krishnamoorthi, K.R. Suneetha
International Journal of Business Performance and Supply Chain Modelling, 2010
An adaptive mammographic image enhancement in orthogonal polynomials domain
World Academy of Science Engineering and Technology, 2010
A new texture image retrieval scheme with full range auto regressive (FRAR) model
International Journal of Soft Computing, 2009
ADMID: An association rule discovery for mammogram image diagnosis
J. Senthilkumar, J.K. Kavitha, D. Manjula, R. Krishnamoorthy
Proceedings IEEE Symposium on Computer Based Medical Systems, 2009
Codebook generation for vector quantization on Orthogonal Polynomials based transform coding
World Academy of Science Engineering and Technology, 2009
Image adaptive watermarking with visual model in Orthogonal Polynomials based transformation domain
World Academy of Science Engineering and Technology, 2009
A new integer image coding technique based on orthogonal polynomials
R. Krishnamoorthi, N. Kannan
Image and Vision Computing, 2009
NANO: A new supervised algorithm for feature selection with discretization
J. Senthilkumar, D. Manjula, R. Krishnamoorthy
2009 IEEE International Advance Computing Conference Iacc 2009, 2009
Requirement based system test case prioritization of new and regression test cases
R. KRISHNAMOORTHI, S. A. SAHAAYA ARUL MARY
International Journal of Software Engineering and Knowledge Engineering, 2009
Factor oriented requirement coverage based system test case prioritization of new and regression test cases
R. Krishnamoorthi, S.A. Sahaaya Arul Mary
Information and Software Technology, 2009
Incorporating varying requirement priorities and costs in test case prioritization for new and regression testing
Krishnamoorthi Ramasamy, Sahaaya Arul Mary
Proceedings of the 2008 International Conference on Computing Communication and Networking ICCCN 2008, 2008
Maximum diversity and full rank space-time block code based on orthogonal polynomials
R. Krishnamoo, K. Selvakumar
Journal of Applied Sciences, 2008
Transform coding of monochrome images with a statistical design of experiments approach to separate noise
R. Krishnamoorthi
Pattern Recognition Letters, 2007
A statistical framework based on a family of full range autoregressive models for edge extraction
K. Seetharaman, R. Krishnamoorthi
Pattern Recognition Letters, 2007
Image compression based on a family of stochastic models
R. Krishnamoorthi, K. Seetharaman
Signal Processing, 2007
Face recognition system based on orthogonal polynomials
R. Krishnamoo, R. Bhavani
Journal of Applied Sciences, 2007
A new adaptive search strategy for fast block based motion estimation algorithms
K Venkatachalapathy, R Krishnamoorthy, K Viswanath
Journal of Visual Communication and Image Representation, 2004
Color edge extraction using orthogonal polynomials based zero crossings scheme
R Krishnamoorthi
Information Sciences, 1998
On unsupervised segmentation of color texture images
Proceedings of the International Conference on High Performance Computing Hipc, 1997
New data compression scheme using orthogonal polynomials
Proceedings of the International Conference on Information Communications and Signal Processing Icics, 1997
Color edge detection using orthogonal polynomials
R. Krishnamoorthi, P. Bhattacharyya
Lecture Notes in Computer Science, 1997

RECENT SCHOLAR PUBLICATIONS

Optimized Design, Analysis, and Validation of a Tractor Muffler for Enhanced Back-Pressure Control and Cost Efficiency
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Impact of anti-M on grouping and cross matching: the challenges faced in three cases
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Citations: 1
Score level based latent fingerprint enhancement and matching using SIFT feature (Retraction of Vol 78, Pg 3065, 2019)
A Manickam, E Devarasan, G Manogaran, MK Priyan, R Varatharajan, ...
MULTIMEDIA TOOLS AND APPLICATIONS 82 (3), 4775-4775 , 2023
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Retraction Note: Score level based latent fingerprint enhancement and matching using SIFT feature
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Multimedia Tools and Applications 82 (3), 4775-4775 , 2023
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Citations: 2
A blockchain based patient centric electronic health record storage and integrity management for e-Health systems
MU Chelladurai, S Pandian, K Ramasamy
Health Policy and Technology 10 (4), 100513 , 2021
2021
Citations: 104
A Novel Compression Framework for Electro Cardiac Signals
B Siva Kumar Reddy, R Krishnamoorthi, C Priyanka
Journal of Physics: Conference Series 1964 (6), 062038 , 2021
2021
Edge detection using Chebyshev's orthogonal polynomial and brain extraction from magnetic resonance images of human head
K Somasundaram, PA Kalaividya, T Kalaiselvi, R Krishnamoorthy, ...
International Journal of Imaging Systems and Technology 29 (2), 110-120 , 2019
2019
Citations: 13
RETRACTED ARTICLE: Score level based latent fingerprint enhancement and matching using SIFT feature
A Manickam, E Devarasan, G Manogaran, MK Priyan, R Varatharajan, ...
Multimedia Tools and Applications 78 (3), 3065-3085 , 2019
2019
Citations: 134
Data Analysis in SJ Clustering and Mary-Data Query System Analysis using Jasper Server Report 5.5 Tool
SJ MaryJasper, V SugaPriya, R KrishnaMoorthy
2019
Automated traffic monitoring using image vision
R Krishnamoorthy, S Manickam
2018 Second International Conference on Inventive Communication and … , 2018
2018
Citations: 13
Motion Estimation and Compensation in Frequency Domain
R Krishnamoorthy, P Archana, VH Priya, K Akshaya
2018 Second International Conference on Inventive Communication and … , 2018
2018
Citations: 2
A secure cloud-based multi-agent intelligent system for mammogram image diagnosis
SR Bhavani, A Chilambuchelvan, J Senthilkumar, D Manjula, ...
International Journal of Biomedical Engineering and Technology 28 (2), 185-202 , 2018
2018
Citations: 2
Selective image encryptions and copyright protection with chaos and orthogonal polynomials
R Krishnamoorthy
Chennai , 2017
2017
Image defect detection and inpainting with orthogonal polynomials
R Krishnamoorthy
Chennai , 2017
2017
A Systematic Analysis of Transform Coefﬁcients and Block Decomposition for Texture Enhancement With Orthogonal Polynomials Model
RKG Devasena
IEEE Transactions on Systems, Man and Cybernetics: Systems 47 (12), 3245-3255 , 2017
2017
A Selective Image Encryption Based on Square-Wave Shuffling With Orthogonal Polynomials Transformation Suitable for Mobile Devices
RKP Murali
Multimedia Tools and Applications 76 (1), 1217-1246 , 2017
2017
Citations: 28
Reduction of blocking artifact in JPEG images with orthogonal polynomials
R Krishnamoorthy, S Thennavan
Applied Mathematics & Information Sciences 11 (2), 601-610 , 2017
2017
Citations: 2
A Block-Based Feature Extraction Approach for Texture Classification with Orthogonal Polynomials
R Krishnamoorthy, G Devasena
5th National Conference on Computational Methods, Communication Techniques … , 2017
2017
Citations: 1
A simple computational framework for defect detection system with orthogonal polynomials transcoded coefficients
R Krishnamoorthy, M Ganesh
Journal of Visual Communication and Image Representation 41, 31-46 , 2016
2016
Citations: 3

Krishnamoorthy Ramasamy

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Scopus Publications

RECENT SCHOLAR PUBLICATIONS

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