Due to the vast number of medical technologies and equipments the medical images are growing at a rapid rate. This directs to retrieve efficient medical images based on visual contents. This paper proposed the content based medical image retrieval system by means of Gabor wavelet to extract texture features of MRI scan images. Then the k-means clustering, progressive retrieval strategy and Eucl...

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This paper presents a novel iris recognition system using 1D log polar Gabor wavelet and Euler numbers. 1D log polar Gabor wavelet is used to extract the textural features, and Euler numbers are used to extract topological features of the iris. The proposed decision strategy uses these features to authenticate an individual’s identity while maintaining a low false rejection rate. The algorithm ...

This work presents a fusion of Log Gabor Wavelet (LGW) and Maximum a Posteriori (MAP) estimator as a speech enhancement tool for acoustical background noise reduction. The probability density function (pdf) of the speech spectral amplitude is approximated by a Generalized Laplacian Distribution (GLD). Compared to earlier estimators the proposed method estimates the underlying statistical model ...

In order to improve the recognition rate and accuracy of stored grain pests classification, saving classification time, a new recognition method based on the Gabor wavelet and sparse representation is proposed in this paper. In this paper, nine typical pests in the stored grain are regarded as the research object, Gabor energy features and morphological features are extracted, principal compone...

A method of rotation-invariant texture classification based on a complete space-frequency model is introduced. A polar, analytic form of a two-dimensional (2-D) Gabor wavelet is developed, and a multiresolution family of these wavelets is used to compute information-conserving microfeatures. From these microfeatures a micromodel, which characterizes spatially localized amplitude, frequency, and...

We describe denoising one-dimensional signals by thresholding Blackman windowed Gabor transforms. This method is compared with Gauss-windowed Gabor threshold denoising and wavelet-based denoising, and is found to be superior in most cases. A new, localized estimator of noise standard deviation is also obtained. Our work provides the first step in developing an adaptive denoising method for non-...

This article presents our investigation on applying the Gabor waveletbased image encoding and processing technique to the nissl-stained rat brain slice images. In past, the Gabor wavelet-based method has been successfully applied to the task of face recognition. Our main question is, however, how universal the Gabor wavelet-based method is; can we apply the method to other classes of object wit...

This paper proposes a biologically-inspired feature extraction method, which consists of coarse region segmentation by a resistive-fuse network and feature extraction by Gabor wavelet transforms. Their pixel-parallel VLSI implementation based on the pulse modulation circuit architecture is described, and measurement results of Gabor filter operation by a test LSI chip with 1-D 20-pixels are pre...