Mepco Schlenk Engineering College

About: Mepco Schlenk Engineering College is a based out in . It is known for research contribution in the topics: Wavelet & Wavelet transform. The organization has 1307 authors who have published 1665 publications receiving 18690 citations.

Improved Detection of Steganographic Algorithms in Spatial LSB Stego Images Using Hybrid GRASP-BGWO Optimisation

Abstract: With the success of passive steganalysis, active steganalysis proceeds with its first step to reveal the steganographic algorithms being used to create the stego images. This process needs to be modelled as a multi-class classification problem. Stem to stern analysis of the literature points out that the existing universal steganalytic features are a thorn in the flesh because of their dimensionality curse (34,671). Hence this work concentrates on detection of steganographic algorithms by optimal novel features christened Local Residual Pattern (LRP) and Local Distance Pattern (LDiP). LRP captures first order derivatives of the high pass filtered output, while LDiP exploits the multi scaled radii neighbourhood to capture deformities at a distance. Acquiring LRP and LDiP from fifteen different kernels, this work focuses to find optimal features by the proposed hybrid technique of Greedy Randomised Adaptive Search—Binary Grey Wolf Optimisation (GRASP-BGWO). Deriving confidence from the bio-inspired algorithm and the divide and conquer approach of the proposed optimisation, this work succeeds in improving the performance of the employed ensemble logistic regression classifier with minimal features. Experimentations conducted using five representative algorithms of spatial Least Significant Bit (LSB) embedding category for eight different payloads show that the developed minimal feature steganalyser outperforms the state-of-the-art steganalysers.

A novel approach combining gabor wavelet and moments for texture segmentation

Abstract: In this work, an effective method has been proposed for texture segmentation, which incorporates the best features of filter bank and statistical approaches. This technique combines the features of Gabor wavelets (filter based) and General Moments (statistical) approaches. The method has been successfully tested for various textures from Brodatz texture collection. The relative performance of this method against the conventional approaches has been analyzed using Fisher Criterion.

Hybrid approach for brain tumor segmentation in magnetic resonance images using cellular neural networks and optimization techniques

Abstract: Tumor segmentation from brain magnetic resonance image data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high div...

BAT optimization based Retinal artery vein classification

Abstract: The investigation of artery vein changes over time is considered to be the significant diagnosis process of retinal diseases like diabetic retinopathy. The diagnosis includes the characteristics analysis of artery vein vessels, changes in its tortuosity level and artery vein ratio; hence, it is important to classify the artery and vein in a better way. Computer-aided diagnosis requires the automated classification of retinal artery and vein for diagnosing the progression of diseases. In this paper, a supervised classification with Bat algorithm is proposed to discriminate the artery and vein vessels in the retinal fundus images. A novel feature vector space, including both additive colour space as well as luminous chromaticity model colour space, is constructed. BAT algorithm is applied to select the feature group which improve the classification accuracy and also to reduce the dimensionality of feature space. The proposed method is developed and analyzed using the publicly available databases DRIVE, IOSTAR and STARE.

Implementation of pipelined hardware architecture for AES algorithm using FPGA

Abstract: The Advanced Encryption Standard is the recent data security standard referred to as Federal Information Processing Standard 197 (FIPS 197) acquired worldwide by several private and public sectors for protective needs of data storage and secure data application from mobile consumer products to high end user Most of the AES implementation for reconfigurable devices, however based on the configurable logic such as flip-flops and lookup tables In this paper AES implementation focuas on embedded function inside of Xilinx devices such as large dual ported BRAM and DSP blocks with the goal of minimizing the use of register and lookup tables that those may be used for other functions The paper presents a hardware implementation of AES algorithm on FPGA The proposed model of AES algorithm was implemented in FPGA using Virtex 5 kit and Xilinx ISE development suite