Orthogonal and biorthogonal wavelets became very popular image processing tools but exhibit major drawbacks, namely a poor resolution in orientation and the lack of translation invariance due to aliasing between subbands. We propose here the construction of log-Gabor wavelet transforms which allow exact reconstruction and strengthen the excellent mathematical properties of the Gabor filters. Tw...

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...

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...

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...

Article history: Received 5 May 2014 Received in revised form 8 February 2015 Accepted 9 February 2015 Available online xxxx

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We present an approach to the combination of an arbitrary number of image features to produce more sophisticated features for anatomical landmark detection. The combination was done using reservoir networks. The results were compared to Gabor wavelet features on single point detection in 2D slices of MR image data to show behavior and potential quality of the combined features.