In order to gain high innovation value profit of special-shaped pearl pendant on the market, optimum price such new product was confirmed in work using GABOR-GRANGER. Firstly, 200 target consumers were selected for cluster analysis their attitudes toward baroque pearls. Then, GABOR-GRANGER applied calculate fake income and threshold set point. Last, it determined lower limit 95% confidence boun...

A new method for texture classification is proposed. It is composed of two processing stages, namely, a low level evolutionary feature extraction based on Gabor wavelets and a high level neural network based pattern recognition. This resembles the process involved in the human visual system. Gabor wavelets are exploited as the feature extractor. A neural network, Fuzzy Adaptive Resonance Theory...

Texture features play a predominant role in land cover classification of remotely sensed images. In this study, for extracting texture features from data intensive remotely sensed image, Gabor wavelet has been used. Gabor wavelet transform filters frequency components of an image through decomposition and produces useful features. For classification of fuzzy land cover patterns in the remotely ...

From trivial edge-detection techniques to the use of a quadrature pair of Gabor filters, the status quo in orientation analysis entails some form of convolution over a window of interest. Although Gabor filters have increased in popularity, most likely due to its computational efficiency as well as being a viable model for the human visual system, it is not without its shortcomings. Most promin...

In this paper we introduce a fast, robust, accurate eye localization algorithm. Detecting and normalizing human faces from live video streams is the first crucial step in a face verification/recognition system. The accuracy and robustness affect the performance of the following face registration and classification. To localize face regions properly, we detect eye corners by using a corner detec...

Spectro-temporal filtering has been shown to result in features that can help to increase the robustness of automatic speech recognition (ASR) in the past. We replace the spectro-temporal representation used in previous work with spectrograms that incorporate knowledge about the signal processing of the human auditory system and which are derived from Power-Normalized Cepstral Coefficients (PNC...

In an automatic fingerprint identification system, it is desirable to estimate the image quality of the fingerprint image before it is processed for feature extraction. This helps in deciding on the type of image enhancements that are needed and in deciding on thresholds for the matcher in the case that dynamic thresholds are used. In this paper, we propose a Gabor-feature based method for dete...

In this paper we present a machine vision system for automatic inspection of defects in textured surfaces found in industry. The defects to be inspected are those that appear as local anomalies embedded in a homogeneous texture. The proposed method is based on a Gabor filtering scheme that computes the output response of energy from the convolution of a textured image with a specific Gabor filt...

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...