inproceedings by Arun A Balakrishnan
High Resolution Wideband Acoustic Beamforming and Underwater Target Localization using 64-Element Linear Hydrophone Array
Density Based Traffic Control System Using Image Processing
Comparison of Denoising Methods in Diffusion Tensor Imaging
Implementation of radix-2 and split-radix fast fourier transform algorithm using current mirrors
A novel approach for contrast enhancement and noise removal of medical images
A novel method for glaucoma detection using optic disc and cup segmentation in digital retinal fundus images
Drowsiness detection using photoplethysmography signal
Medical image enhancement by applying averaging method in clusters
Detection and localization of texts from natural scene images using scale space and morphological operations
Contrast enhancement based denoising method in diffusion tensor imaging
Reconstruction of Beat Signal in Radar Altimeter Using Signal Processing
OFDM channel estimation using compressed sensing L1-regularized least square problem solver
Performance Analysis of Magnetic Resonance Image Denoising Using Contourlet Transform
articles by Arun A Balakrishnan
Analog CMOS Implementation of Fast Fourier Transform Using Current Mirror Circuits
An Efficient Tool Identification System Using Principal Component Analysis
Fetal ECG Extraction Using Adaptive Filters
Papers by Arun A Balakrishnan
Detection and localization of texts from natural scene images is important and can provide a much... more Detection and localization of texts from natural scene images is important and can provide a much truer form of content-based image analysis if it can be extracted and harnessed efficiently. This problem becomes challenging because of complex background, variations of text font, size and line orientation, non-uniform illumination. A new unsupervised text detection algorithm is proposed in this paper. In this approach scale space and morphological operations for the edge detection are utilized. The non-text components are efficiently filter out by using scale decomposition and 2D Gaussian low pass filter. They are extracted based on observation that the edge of a character can be extracted from the complex scenes by taking into consideration the high similarities in length and aspect ratio. The proposed method yielded high precision when experiments where evaluated in the ICDAR 2003 dataset.
2013 Third International Conference on Advances in Computing and Communications, 2013
A medical image denoising algorithm using contourlet transform is proposed and the performance of... more A medical image denoising algorithm using contourlet transform is proposed and the performance of the proposed method is analysed with the existing methods. Noise in magnetic resonance imaging has a Rician distribution and unlike AWGN noise, Rician noise is signal dependent. Separating signal from Rician noise is a tedious task. The proposed approaches were compared with other transform methods such as wavelet thresholding and block DCT. Hard, soft and semi-soft thresholding techniques are described and applied to test images with threshold estimators like universal threshold. The results are compared based on the parameters: PSNR and MSE. Numerical results show that the contourlet transform can obtained higher PSNR than wavelet based and block DCT based denoising algorithms.
2018 International Conference on Emerging Trends and Innovations In Engineering And Technological Research (ICETIETR), 2018
The frequent traffic jams at major junctions call for an efficient traffic management system in p... more The frequent traffic jams at major junctions call for an efficient traffic management system in place. The resulting wastage of time and increase in pollution levels can be eliminated on a city-wide scale by these systems. The project proposes to implement an intelligent traffic controller using real time image processing. The image sequences from a camera are analyzed using thresholding method to find the density. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed. The project also proposes to implement a real-time emergency vehicle detection system. In case an emergency vehicle is detected, the lane is given priority over all the others. Hardware control is done by microcontroller.
2013 International Conference on Control Communication and Computing (ICCC), 2013
This paper presents the application of two different image enhancement techniques to medical imag... more This paper presents the application of two different image enhancement techniques to medical images and the comparison of these techniques with traditional Histogram Equalization (HE) method. The proposed method uses Weighted Histogram Equalization (WHE) and transform domain approach to enhance medical images. Simulation results shows that Perona-Malik filter (PM filter) can be used to remove the noise from the enhanced image without impacting the image contrast. Peak Signal to Noise Ratio (PSNR) values shows that the use of Perona-Malik filter can improve both the methods. The proposed WHE method with PM filter shows better PSNR values than the transform domain approach with PM filter.
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inproceedings by Arun A Balakrishnan
articles by Arun A Balakrishnan
Papers by Arun A Balakrishnan