Images have characteristic statistics that can be characterized in terms of the responses of wavelet or Gabor-like filters. There has been a great deal of interest in the fact that images have sparse (kurtotic) statistics in the wavelet domain, with implications for efficient image encoding in biological and artificial systems. If we set aside the issue of efficiency, we are still left with the...

Transcatheter arterial chemoembolization (TACE) and sorafenib combination treatment for unselected hepatocellular carcinoma (HCC) is controversial. We explored the potential of texture analysis for appropriate patient selection. There were 261 HCCs included (TACE group: n = 197; TACE plus sorafenib (TACE+Sorafenib) group n = 64). We applied a Gabor filter and wavelet transform with 3 band-width...

Gabor functions have wide-spread applications in image processing and computer vision. In this paper, we prove that 2D Gabor functions are translation-invariant positive-definite kernels and propose a novel formulation for the problem of image representation with Gabor functions based on infinite kernel learning regression. Using this formulation, we obtain a support vector expansion of an imag...

This quarter we primarily worked on optimizing the edge and line detectors incorporated in our image analysis software. We changed our optimization scenario and designed a metric for the evaluation procedure. With our optimized detectors, we achieved a match error rate of 29.3%, as well as a low level of insertion, on the test set 01 from the Pre-phase 01 image data. Meanwhile, we started inves...

Wavelet transform; Multilingual text; Wavelet decomposition; Gabor filter; k-Means clustering; Linked list approach; Wavelet entropy Abstract The present paper presents one of the efficient approaches towards multilingual text detection for video indexing. In this paper, we propose a method for detecting text located in varying and complex background in images/video. The present approach compri...

Detecting and recognizing face images automatically is a difficult task due to the variability of illumination, presentation angle, face expression and other common problems of machine vision. In this paper, we represent face images as combinations of 2-D Gabor wavelet basis which are non-orthogonal. Genetic Algorithm (GA) is used to find an optimal basis derived from a combination of frequenci...

Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data that must be stored. One way to reduce space is to quantize Gabor coefficients using an accurate statistical model which should reflect the behavior of the data. Statistical image analysis has revealed one interesting property: t...

detection scheme for solving the problem of automated defect detection for textile fabrics. In the development of the scheme, Gabor wavelet network (GWN) is deployed as the major technique to extract texture features from textile fabrics. An optimal Gabor filter is then designed on the basis of the features extracted. The proposed defect detection scheme consists of one real-valued optimal Gabo...

The paper proposes a novel technique for iris recognition using texture and phase features. Texture features are extracted on the normalized iris strip using Haar Wavelet while phase features are obtained using LOG Gabor Wavelet. The matching scores generated from individual modules are combined using sum of score technique. The system is tested on database obtained from Bath University and Ind...

In this paper, we present a feature selection approach based on Gabor wavelets and AdaBoosting. The features are first extracted by a Gabor wavelet transform. A family of Gabor wavelets with 5 scales and 8 orientations is generated with the standard Gabor kernel. Convolved with the Gabor wavelets, the original images are transformed into vectors of Gabor wavelet features. Then for an individual...