linear filters are used for a wide range of magnetic science including noise attenuation, spatial derivatives, upward and downward continuation and reduction to the pole. the majority of these filters are spatially-invariant, meaning that the filter has a constant wave number response over the whole signal. in contrast, many signals which encountered real problems such as magnetic signals, typi...

Most Content-Based Image Retrieval (CBIR) systems employ color as primary feature with texture and shape as secondary features. Very few systems exploit spatial features. None of the available systems combines all three visual features, texture, shape and location, for organization and retrieval. Moreover relatively few systems use Gabor filters in texture extraction, despite the widely acclaim...

Due to the difficulty for constructing two-dimensional wavelet filters, the commonly used wavelet filters are tensor-product of one-dimensional wavelet filters. In some applications, more perfect reconstruction filters should be provided. In this paper, we introduce a transformation which is referred to as Shift Unitary Transform SUT of Conjugate Quadrature Filter CQF . In terms of this transfo...

iometric identification techniques are applied to identify an individual on the basis of an individual’s characteristics (both physiological and behavioral). It is one of the most dependable and sensible approach to recognize an authorized person among several masquerades. The technology of biometric identification is applying in some specific regions to draw out furtive information such as fac...

Gabor descriptors have been widely used in iris texture representations. However, fixed basic Gabor functions cannot match the changing nature of diverse iris datasets. Furthermore, a single form of iris feature cannot overcome difficulties in iris recognition, such as illumination variations, environmental conditions, and device variations. This paper provides multiple local feature representa...

This paper proposes a method for extracting sub-images from a huge reference image by using learnt lifting wavelet filters. Lifting wavelet filters are biorthogonal wavelet filters containing free parameters developed by Sweldens. Our method is to learn such free parameters using some training sub-images so as to vanish their high frequency components. The learnt wavelet filters have the featur...

We study the construction of Gabor frames and wavelet for Weyl–Heisenberg group extended affine by using contraction between due to Subag, Baruch, Birman Mann. Firstly, we give with several generators from a unitary irreducible representation associated group. Wavelet an have been obtained. A relation is also discussed. Finally, show that structure are stable under small perturbations.

a new method based upon gabor filter and machine vision for the recognition of pistachio varieties is proposed throughout the current study. in the suggested method, the image of a set number of pistachios is considered to represent a texture; instead of one by one pistachio processing (which is actually done in the current methods) the new method is expected to represent a higher rating as wel...

This paper introduces a novel Gabor-Fisher (1936) classifier (GFC) for face recognition. The GFC method, which is robust to changes in illumination and facial expression, applies the enhanced Fisher linear discriminant model (EFM) to an augmented Gabor feature vector derived from the Gabor wavelet representation of face images. The novelty of this paper comes from 1) the derivation of an augmen...