181,757 research outputs found

    Optimum Gabor filter design and local binary patterns for texture segmentation

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    We present a novel approach to multi-texture image segmentation based on the formation of an effective texture feature vector. Texture sub-features are derived from the output of an optimized Gabor filter. The filter's parameters are selected by an immune genetic algorithm, which aims at maximizing the discrimination between the multi-textured regions. Next the texture features are integrated with a local binary pattern, to form an effective texture descriptor with low computational cost, which overcomes the weakness of the single frequency output component of the filter. Finally, a K-nearest neighbor classifier is used to effect the multi-texture segmentation. The integration of the optimum Gabor filter and local binary pattern methods provide a novel solution to the task. Experimental results demonstrate the effectiveness of the proposed approach

    Gabor frames with trigonometric spline dual windows

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    A Gabor system is a collection of modulated and translated copies of a window function. If we have a signal in L2(R)L^2(\mathbb{R}), it can be analyzed with a Gabor system generated by a certain window gg and then synthesized with a Gabor system generated by another window hh. If this leads us to a perfect reconstruction, we say that gg and hh are dual Gabor windows. Few explicit examples of dual window pairs are known. This thesis constructs explicit examples of Gabor dual windows with trigonometric form. The windows have fixed support and have an arbitrary smoothness. Also, in the discrete time domain, the trigonometric form allows us to evaluate the Gabor coefficients efficiently using the Discrete Fourier Transform. For the higher dimensional cases, we find window examples for a large class of modulation parameter lattices, including shear lattices. Also, a sufficient condition on the norm of the modulation lattice to have explicit dual Gabor windows is presented, for every dimension.Item withdrawn by Mark Zulauf ([email protected]) on 2011-07-01T20:21:55Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Kim_Inmi.tex: 149708 bytes, checksum: 09bb9931d8d15b5c870ef127349d9cec (MD5) Kim_Inmi.pdf: 12453581 bytes, checksum: cd677405c5e50579f2fcc6966676cabd (MD5)Made available in DSpace on 2011-08-25T22:10:11Z (GMT). No. of bitstreams: 3 Kim_Inmi.pdf: 12453581 bytes, checksum: cd677405c5e50579f2fcc6966676cabd (MD5) license.txt: 4058 bytes, checksum: 2e86ffea7b2a880dd48eefd657b9edd9 (MD5) Kim_Inmi.tex: 149708 bytes, checksum: 09bb9931d8d15b5c870ef127349d9cec (MD5

    Swept source optical coherence tomography Gabor fusion splicing technique for microscopy of thick samples using a deformable mirror

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    We present a swept source optical coherence tomography (OCT) system at 1060 nm equipped with a wavefront sensor at 830 nm and a deformable mirror in a closed-loop adaptive optics (AO) system. Due to the AO correction, the confocal profile of the interface optics becomes narrower than the OCT axial range, restricting the part of the B-scan (cross section) with good contrast. By actuating on the deformable mirror, the depth of the focus is changed and the system is used to demonstrate Gabor filtering in order to produce B-scan OCT images with enhanced sensitivity throughout the axial range from a Drosophila larvae. The focus adjustment is achieved by manipulating the curvature of the deformable mirror between two user-defined limits. Particularities of controlling the focus for Gabor filtering using the deformable mirror are presented. © 2015 Society of Photo-Optical Instrumentation Engineers

    Orbits of bounded bijective operators and Gabor frames

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    This paper is a contribution to frame theory. Frames in a Hilbert space are generalizations of orthonormal bases. In particular, Gabor frames of L2(R)L^2(\mathbb{R}), which are made of translations and modulations of one or more windows, are often used in applications. More precisely, the paper deals with a question posed in the last years by Christensen and Hasannasab about the existence of overcomplete Gabor frames, with some ordering over Z\mathbb{Z}, which are orbits of bounded operators on L2(R)L^2(\mathbb{R}). Two classes of overcomplete Gabor frames which cannot be ordered over Z\mathbb{Z} and represented by orbits of operators in GL(L2(R))GL(L^2(\mathbb{R})) are given. Some results about operator representation are stated in a general context for arbitrary frames, covering also certain wavelet frames.Comment: 12 page

    On R-Duals and the Duality Principle in Gabor Analysis

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    The concept of R-duals of a frame was introduced by Casazza, Kutyniok and Lammers in 2004, with the motivation to obtain a general version of the duality principle in Gabor analysis. For tight Gabor frames and Gabor Riesz bases the three authors were actually able to show that the duality principle is a special case of general results for R-duals. In this paper we introduce various alternative R-duals, with focus on what we call R-duals of type II and III. We show how they are related and provide characterizations of the R-duals of type II and III. In particular, we prove that for tight frames these classes coincide with the R-duals by Casazza et al., which is desirable in the sense that the motivating case of tight Gabor frames already is well covered by these R-duals. On the other hand, all the introduced types of R-duals generalize the duality principle for larger classes of Gabor frames than just the tight frames and the Riesz bases; in particular, the R-duals of type III cover the duality principle for all Gabor frames

    Limitations for change detection in multiple Gabor targets

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    We investigate the limitations on the ability to detect when a target has changed, using Gabor targets as simple quantifiable stimuli. Using a partial report technique to equalise response variables, we show that the log of the Weber fraction for detecting a spatial frequency change is proportional to the log of the number of targets, with a set-size effect that is greater than that reported for visual search. This is not a simple perceptual limitation, because pre-cueing a single target out of four restores performance to the level found when only one target is present. It is argued that the primary limitation on performance is the division of attention across multiple targets, rather than decay within visual memory. However in a simplified change detection experiment without cueing, where only one target of the set changed, not only was the set size effect still larger, but it was greater at 2000 msec ISI than at 250 msec ISI, indicating a possible memory component. The steepness of the set size effects obtained suggests that even moderate complexity of a stimulus in terms of number of component objects can overload attentional processes, suggesting a possible low-level mechanism for change blindness

    Characterizations of weak R-duality and its application to Gabor frames

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    Weak R-duals, a generalization of R-duals, were recently introduced; for which duality relations were established. In this paper, we consider the problem of characterizing a given frame sequence to be a weak R-dual of a given frame. Further, we apply these characterization results to the Gabor frame setting and prove that the weak R-duality of the adjoint Gabor system leads to the R-duality of the same, thereby indicating an approach to answer the famous problem of the adjoint Gabor system being an R-dual of a given Gabor frame.27 Page

    A fast learning algorithm for Gabor transformation

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    An adaptive learning approach for the computation of the coefficients of the generalized nonorthogonal 2-D Gabor transform representation is introduced in this correspondence. The algorithm uses a recursive least squares (RLS) type algorithm. The aim is to achieve minimum mean squared error for the reconstructed image from the set of the Gabor coefficients. The proposed RLS learning offers better accuracy and faster convergence behavior when compared with the least mean squares (LMS)-based algorithms. Applications of this scheme in image data reduction are also demonstrated

    Automatic image processing using the Ateb-Gabor method

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    This article describes an image filtration using an Ateb-Gabor method. Proposed method allows to expend a Gabor filter performance because it contains much more combinations. There was an Ateb-Gabor filtration provided to the one case of images and to the one periodic Ateb-function

    Gabor orthonormal bases, tiling and periodicity

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    We show that if the Gabor system {g(xt)e2πisx,tT,sS}\{g(x − t)e^{2\pi isx}, t\in T,s\in S\}, is an orthonormal basis in L2(R)L^2(\mathbb{R}) and if the window function gg is compactly supported, then both the time shift set TT and the frequency shift set SS must be periodic. To prove this we establish a necessary functional tiling type condition for Gabor orthonormal bases which may be of independent interest.publishe
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