Diagnostics of rolling elements under varying operational conditions, where disturbances and other rotating elements have strong influence on correctness of analysis, requires engagement of advanced signal processing techniques. Extraction of signal components generated by bearing faults has been proven to be an exceptionally promising method for rolling element bearing fault detection. In this...

An image can be retrieved from number of features contained in it. But it depends upon its format, which features are best selected for the proper retrieval. In this paper, the RGB, HSV, YIQ and dithered images are retrieved using two computational retrieval techniques; DCT and Wavelet decomposition. When used DCT transformation technique, only HSV images are giving the best results, while when...

In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture radar images, which uses combination of undecimated wavelet transformation, wiener filter (which is an adaptive filter) and mean filter. Further more instead of using existing thresholding techniques such as sure shrinkage, Bayesian shrinkage, universal thresholding, normal thresholding, visu thr...

Image retrieval method utilizing texture information which is derived from Discrete Wavelet Transformation: DWT together with color information is proposed. One of the specific features of the texture information extracted from portions of image is based on Dyadic wavelet transformation with forming texture feature vector by using energy derived from Gabor transform on 7 by 7 pixel neighbor of ...

A method for line feature extraction from multifidus muscle of Computer Tomography (CT) scanned image with morphologic filter together with wavelet based Multi Resolution Analysis (MRA) is proposed. The contour of the multifidus muscle can be extracted from hip CT image. The area of multifidus muscle is then estimated and is used for an index of belly fat because there is a high correlation bet...

In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture radar images, which uses combination of undecimated wavelet transformation, wiener filter (which is an adaptive filter) and mean filter. Further more instead of using existing thresholding techniques such as sure shrinkage, Bayesian shrinkage, universal thresholding, normal thresholding, visu thr...

Renewable energy sources are gaining high prominence in today’s world. However, these sources do not supply energy throughout the year and hence efficiency is required when extracting energy from them. Wind energy is a recently developing area of common interest. Efficiency of a wind turbine is however, very low. Hence, detection of fault in the system becomes very essential so as to increase t...

Digital image security is of utmost importance in today’s scenario. This paper proposes a novel type of image security method involving Arnold transformation and frequency domain transformation i.e. Dual Tree Complex wavelet transform (DTCWT) .The main idea here is to decompose the cover image into sub-bands using dual tree complex wavelet transform and then applying Arnold Transform to the wat...

The Hybrid technique that combines the Wavelet Transformation and Block Truncation Coding is a new framework proposed for fingerprint image compression. The proposed technique includes image enhancement system, forward DWT, encoding system, decoding system and inverse DWT. Image enhancement techniques like histogram equalization and wiener filtering has been performed on the image before Wavele...

In literature, features based on First and Second Order Statistics that characterizes textures are used for classification of images. Features based on statistics of texture provide far less number of relevant and distinguishable features in comparison to existing methods based on wavelet transformation. In this paper, we investigated performance of texture-based features in comparison to wavel...