T. Sridevi

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Image segmentation is to partition an image into meaningful regions with respect to a particular application. Object recognition is the task of finding a given object in an image or video sequence. In this paper, interaction between image segmentation (using different edge detection methods) and object recognition are discussed. Edge detection methods such(More)
Digital watermarking algorithms are prune to different attacks. Of these geometric attacks are recognized as one of the strongest attacks for digital watermarking technology. In this paper, we implemented a BNA(Blind Normalization Algorithm) watermarking algorithm resistant to geometrical distortions (rotation, scaling and aspect ratio)and different other(More)
An efficient and robust video watermarking algorithm for video coding standard MPEG has been proposed in this paper. Digital video watermarking has attracted a great deal of research interest in the past few years in applications such as digital fingerprinting and owner identification. Grayscale 2-D watermark patterns such as detailed trademarks or logos(More)
Feature selection aims to select subset of original features. It removes unrelated, redundant or noisy data from the problem domain. Rough set theory is often applied to feature reduction using the data alone, requiring no additional information and widely used for classification tool in data mining. Clustering, a form of data grouping, groups a set of data(More)
This paper details the Process Disturbance Analyzer (PDA) for 500 MWe Prototype Fast Breeder Reactor (PFBR). The various parameters that assist safe operation of the reactor are to be monitored continuously to aid post event/disturbance analysis of the plant. Some critical analog and digital signals from circuit breakers, power supply, variable speed drive(More)
Feature selection is a fundamental problem in data mining, especially for high level dimensional datasets. Feature selection is a process commonly used in machine learning, wherein subsets of the features from the original set of features are selected for application of a learning algorithm. The best subset contains the minimum number of dimensions(More)
A major area of current research in data mining is the field of medical diagnosis. In the present study using the Breast cancer Wisconsin data sets, a feature selection algorithm Modified Correlation Rough Set Feature Selection (MCRSFS) predicts both diagnosis and prognosis by comparing several data mining classification algorithms. In the proposed(More)
In this work, a watermarking algorithm is proposed using Genetic algorithm and discrete wavelet transformation. The algorithm proposed is to improve both robustness and fidelity of the watermarked image. Fuzzy Inference system is used to determine the embedding strength based on HVS properties of the image. To test the robustness different attacks are(More)
Mesoporous nanocrystalline hydroxyapatite (nHAp) rods of size 40-75 nm long and 25 nm wide (resembling bone mineral) were synthesized under microwave irradiation without using any surfactants or modifiers. The surface area and average pore size of the nHAp were found to be 32 m(2) g(-1) and 4 nm, respectively. Rifampicin (RIF) and ciprofloxacin (CPF) loaded(More)