Gabor filters have been successfully employed in texture segmentation problems, yet a general multi-filter multi-texture Gabor filter design procedure has not been offered. To this end, we first present a multichannel paradigm that provides a mathematical framework for the design of the filters. The paradigm establishes relationships between the predicted texture-segmentation error, the power s...

Texture segmentation involves subdividing an image into differently textured regions. Many texture segmentation schemes are based on a filter-bank model, where the filters, called Gabor filters, are derived from Gabor elementary functions. The goal is to transform texture differences into detectable filter-output discontinuities at texture boundaries. By locating these discontinuities, one can ...

Several authors, e. g. Vermeer et al. [1996], have recently recognized that wavelets may not be the best fit for seismic data since they present large-scale oscillations. They have therefore investigated for instance wavelet packets, local cosine or Gabor transforms. We focus here on filter banks (FB), which can be regarded as a multichannel generalization of wavelets [Duval and Røsten, 2000]. ...

We present a two-stage face-finding system as a combination of labeled graph matching and statistical learning. The data format for both stages consists of vectors of the responses of Gabor wavelet filters. Graph matching is used to detect possible locations of faces that we call hypotheses. These typically contain many false positives. The graphs at the found locations are then reinterpreted a...

An oversampled discrete-time Gabor transform (DTGT) has inherent redundancy for signal representation in the joint time-frequency domain. In the proposed multiple-access communication system, this redundancy is used to separate different signals. The DTGTs of all users' signals are transmitted in the same time slots and frequency bands. The DTGTs of the signals can be separated if the analysis ...

69 Abstract—Image Segmentation is an important pixel base measurement of image processing, which often has a large impact on quantitative image analysis results. The texture is most important attribute in many image analysis or computer vision applications. The procedures developed for texture problem can be subdivided into four categories: structural approach, statistical approach, model based...

Vehicle License Plate Detection (LPD) is an important step for the vehicle plate recognition which can be used in the intelligent transport systems. Many methods have been proposed for the detection of license plates based on: Mathematical morphology, Discrete Wavelet Transform, Hough Transform and others. In general, an LPR system includes four main parts: Vehicle image acquisition, license pl...

We study singly-generated wavelet systems on R that are naturally associated with rank-one wavelet systems on the Heisenberg group N . We prove a necessary condition on the generator in order that any such system be a Parseval frame. Given a suitable subset I of the dual of N , we give an explicit construction for Parseval frame wavelets that are associated with I . We say that g ∈ L(I×R) is Ga...

Gabor deconvolution has been updated and a new ProMAX module is released. The updates are: (1) a new method of spectral smoothing called hyperbolic smoothing; (2) a Gabor transform using compactly supported windows that improves run times by one to two orders of magnitude; and (3) a post-deconvolution time-variant bandpass filter whose maximum frequency tracks along a hyperbola in the time-freq...