K. L. Shunmuganathan

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Consider an image that has been encrypted uncompressed. The data compression algorithms are ineffective because the encryption masks the source. To reduce the size, distributed source coding technique is used without requiring the data be compressed prior to encryption. Under some reasonable condition, neither the security nor the compression efficiency(More)
Steganography is the approach for hiding any secret message in a variety of multimedia carriers like images, audio or video files. Whenever we are hiding a data, it is very important to make it invisible, so that it could be protected. A number of steganographic algorithms have been proposed based on this property of a steganographic system. This paper(More)
Mobile agent systems are an active area of research with many issues still to be addressed before they achieve practical widespread use. Mobile agent is a mobile object that moves from host to host under the control of its own will to achieve task. Mobile agents are mainly intended to be used for applications distributed over large-scale networks since they(More)
-Multicore architecture otherwise called as CMP has many processors packed together on a single chip utilizes hyper threading technology. The main reason for adding large amount of processor core brings massive advancements in parallel computing paradigm. The enormous performance enhancement in multicore platform injects lot of challenges to the task(More)
-Association rule mining is an active data mining research area and most ARM algorithms cater to a centralized environment. Centralized data mining to discover useful patterns in distributed databases isn't always feasible because merging data sets from different sites incurs huge network communication costs. In this paper, an Improved algorithm based on(More)
In this paper, an approach for improving active shape segmentation of medical images using machine learning techniques which can achieve high segmentation accuracy is described. A statistical shape model is created from a training dataset which is used to search for an object of interest in an image. Active shape model has shown over time to be a reliable(More)
In this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original(More)
One third of the world's population is thought to have been infected with mycobacterium tuberculosis (TB) with new infection occurring at a rate of about one per second. TB typically attacks the lungs. Indication of cavities in upper lobes of lungs shows the high infection. Traditionally, it has been detected manually by physicians. But the automatic(More)