Automated inspection of apple quality involves computer recognition of good apples and blemished apples based on geometric or statistical features derived from apple images. This paper introduces a Gabor feature-based kernel principal component analysis (PCA) method by combining Gabor wavelet representation of apple images and the kernel PCA method for apple quality inspection using near-infrar...

This paper presents an integrated approach using multiple Gabor filters for the segmentation of multi-textured images. The approach includes both the design of the constituent Gabor filters and the design of the classifier and postprocessing. The classifier uses a mixture density to reduce localization error at texture boundaries, and the postprocessing uses morphological operators to remove sp...

Gabor jets are a set of filters that are used to extract the local frequency information from the face images. These filters are generally linear filter with impulse responses defined by a harmonic function and a Gaussian function. The Fourier transform of a Gabor filter’s impulse response is the convolution of the Fourier transform of the harmonic function and the Fourier transform of the Gaus...

Since two-dimensional Gabor filter can be separated into onedimensional Gaussian low pass filter and one-dimensional Gaussian band pass filter to the perpendicular, a new set of separable Gabor filters are implemented for fingerprint enhancement. This separable Gabor filtering consumes approximately 2.6 time faster than the conventional Gabor filtering with comparable enhancement results. This ...

The usefulness of multichannel filtering for image texture segmentation has been demonstrated in the literature [l, 2, 3 , 4, 5, 61. Based on psychophysical studies, it has been largely believed that Gabor filters are optimal for segmentation [7, 81. In this paper, the application of maximally decimated, non-separable, perfect reconstruction filter banks (subband systems) are investigated for t...

This paper proposes an algorithm for segmentation and extracting an object region by using Gabor filters. Gabor filters are exploited to extract spatial frequency in some orientations, and not only the outputs of Gabor filters but also color informations are used to construct the features at each image pixel. The criterion is devised so as to consider the similarity, the region size and the reg...

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, a novel Gabor filter-based feature extraction method for low resolution gray character classification is proposed. By applying Gabor filters to a character image, dominant orientation matrix is obtained and used to form feature vector for recognition. We compared our Gabor feature with other Gabor features. Experiments show that the proposed feature extraction method achieves hig...

The two groups of popularly used texture analysis techniques for classification problems are the statistical and signal processing methods. In this paper, we propose to use a signal processing method, the Gabor filters to produce the feature images, and a statistical method, the covariance matrix to produce a set of features which show the statistical information of frequency domain. The experi...

While automated face recognition is a very important area of research and implementation, very few techniques make use of color information in recognition. However, both testing and analytic work indicate the potential advantages of using color. Existing work in Gabor filters for face recognition shows great promise, especially in robustness to illumination and pose variations. This proposed re...