A successful face recognition system calculates similarity of face images based on the activation of multiscale and multiorientation Gabor kernels, but without utilizing any statistical properties of that representation [3]. A method has been developed to weight the contribution of each element (1920 kernels) in the representation according to their power of predicting similarity of faces. The ...

Transcranial sonography (TCS) is a new tool for the diagnosis of Parkinson’s disease (PD) at a very early state. The TCS image of the mesencephalon shows a distinct hyperechogenic pattern in about 90% PD patients. This pattern is usually manually segmented and the substantia nigra (SN) region can be used as an early PD indicator. However this method is based on manual evaluation of examined ima...

In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selec tecl to be tuned to texture components of the input image. In the proposed method segmentation is achieved by detecting boundaries between adjacent textured regions, and this segmentation algorithm works as follows. The input image is first filt...

In this paper we examine the use of global texture analysis based approaches for the purpose of Persian font recognition in machine-printed document images. Most existing methods for font recognition make use of local typographical features and connected component analysis. However derivation of such features is not an easy task. Gabor filters are appropriate tools for texture analysis and are ...

In order to search images in a database, a content based image retrieval methods are widely used for finding visually similar one to a given sample image. The approaches using Gabor functions and filters are regarded as one of the excellent methods for feature extraction and texture segmentations. However, the Gabor method does not perform well specifically for a rotated image since the filter ...

Although computerized retinal image blood vessel segmentation has been extensively researched, there is still room for improvement in the quality of the segmented images. Since retinal image analysis is still widely used in the diagnosis of diabetic retinopathy, efficient and accurate image characterization techniques are required. Previous work has mainly focused on improving segmentation accu...

We propose two texture-based approaches, one involving Gabor filters and the other employing log-polar wavelets, for separating text from non-text elements in a document image. Both the proposed algorithms compute local energy at some information-rich points, which are marked by Harris’ corner detector. The advantage of this approach is that the algorithm calculates the local energy at selected...

Text information embedded in video frames play an important role in content-based multimedia indexing and retrieval as a result the automatic detection of texts from videos has gained wide attention in recent years. In this paper an effective method for text detection and localization approach based on Log Gabor filter and Block Eigen map analysis is proposed. Log Gabor filter response is used ...

We present a robust environmental sound classification approach, based on reassignment method and logGabor filters. In this approach the reassigned spectrogram is passed through a bank of 12 log-Gabor filter concatenation applied to three spectrogram patches, and the outputs are averaged and underwent an optimal feature selection procedure based on a mutual information criterion. The proposed m...

In this paper, a new feature extraction operator, the grating cell operator, is applied to analyze the texture features and classify fonts of scanned document images. This operator is compared with the isotropic Gabor filter which was also employed for font classification. In order to improve the performance, a back-propagation neural network (BPNN) classifier was applied and compared with the ...