Semantic analysis of cartographic images is interpreted as a separate representation of cartographic patterns (alphanumeric, punctual, linear, and area). We present an approach to map interpretation exploring the idea...
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ISBN:
(数字)9783540458685
ISBN:
(纸本)3540440666
Semantic analysis of cartographic images is interpreted as a separate representation of cartographic patterns (alphanumeric, punctual, linear, and area). We present an approach to map interpretation exploring the idea of synthesis of invariant graphic images at low level processing (vectorization and segmentation). This means that we ran "vectorization-recognition" and "segmentation-interpretation" systems simultaneously. Although these systems can generate some errors in interpretation, they are much more useful, for the following understanding algorithms because its output is nearly recognized objects of interest.
Many events are captured using multiple cameras today. Frames of each video stream have to be synchronized and aligned to a common time axis before processing them. Synchronization of the video streams necessarily nee...
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Many events are captured using multiple cameras today. Frames of each video stream have to be synchronized and aligned to a common time axis before processing them. Synchronization of the video streams necessarily needs a hardware based solution that is applied while capturing. The alignment problem between the frames of multiple videos can be posed as a search using traditional measures for image similarity. Multiview relations and constraints developed in Computer vision recently can provide more elegant solutions to this problem. In this paper, we provide two solutions for the video frame alignment problem using two view and three view constraints. We present solutions to this problem for the case when the videos are taken using affine cameras and for general projective cameras. Excellent experimental results are achieved by our algorithms.
Recently, a number of heuristic techniques have been devised in order to overcome some of the limitations of the Blind Source Separation (BSS) algorithms that are rooted in the theory of Independent Component Analysis...
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Recently, a number of heuristic techniques have been devised in order to overcome some of the limitations of the Blind Source Separation (BSS) algorithms that are rooted in the theory of Independent Component Analysis (ICA). They are usually based on topographic maps and designed to separate mixtures of signals with either sub-Gaussian or super-Gaussian source densities. In the sub-Gaussian case, the coordinates of the winning neurons in the topographic map represent the estimates of the source signal amplitudes. In the super-Gaussian case, one relies on the topographic map's ability to detect the source directions in mixture space which, in turn, correspond to the column vectors of the mixing matrix in the linear case. We will introduce a new topographic map-based heuristic for super-Gaussian BSS. It relies on the tendency of the mixture samples to cluster around the source directions. We will demonstrate its performance on linear and mildly non-linear mixtures of speech signals, including the case where there are less mixtures than sources to be separated ("non-square" BSS).
In this paper, we'll discuss the development of an approach to measuring the object parameters on the basis of imageprocessing and diffractive optics methods. The paper is composed of two parts. In Part I we'...
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In this paper, we'll discuss the development of an approach to measuring the object parameters on the basis of imageprocessing and diffractive optics methods. The paper is composed of two parts. In Part I we'll examine a number of problems related to measuring the geometric parameters of diagnostic medical images derived via optical and X-ray techniques. These problems are concerned with measuring the geometric parameters of heart and retina blood vessels. Here, the original techniques and algorithms for tracing the blood vessels' tree, detecting vessel branches and measuring the vessel thickness are used. We shall also discuss methods for 3D tracing, that allow the 3D structural images of the vessel tree to be derived from X-ray angiographic images of projections. Part II is devoted to the synthesis of multi-order diffractive optical elements (DOEs) matched to different orthogonal bases. These elements may be applied to spectral analysis by using the Bessel, Gauss-Laguerre and Gauss-Hermite modes;checking the aspherical surfaces by using the Zernike basis;the rotation-invariant light decomposition in terms of angular harmonics and functions comprising the angular harmonics;measuring the orbital angular momentum of rotating laser light fields.
Digital calibration using adaptive signal processing corrects for offset mismatch, gain mismatch, and sample-time error between time-interleaved channels in a 10-b 120-Msample/s pipelined analog-to-digital converter (...
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Digital calibration using adaptive signal processing corrects for offset mismatch, gain mismatch, and sample-time error between time-interleaved channels in a 10-b 120-Msample/s pipelined analog-to-digital converter (ADC). Offset mismatch between channels is overcome with a random chopper-based offset calibration. Gain mismatch and sample-time error are overcome with correlation-based algorithms, which drive the correlation between a signal and its chopped image or its chopped and delayed image to zero. Test results show that, with a 0.99-MHz sinusoidal input, the ADC achieves a peak signal-to-noise-and-distortion ratio (SNDR) of 56.8 dB, a peak integral nonlinearity of 0.88 least significant bit (LSB), and a peak differential nonlinearity of 0.44 LSB. For a 39.9-MHz sinusoidal input, the ADC achieves a peak SNDR of 50.2 dB. The active area is 5.2 mm(2), and the power dissipation is 234 mW from a 3.3-v supply.
The ability of Lamb waves to travel long distances can be harnessed to monitor damage in large structures, such as those used in aerospace applications. This paper reports on studies of the propagation of Lamb waves i...
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The ability of Lamb waves to travel long distances can be harnessed to monitor damage in large structures, such as those used in aerospace applications. This paper reports on studies of the propagation of Lamb waves in composite structures the signal processing techniques used to get information from Lamb wave data. The Short Time Fourier Transform (STFT) is used as a tool for signal processing on Lamb waves. The energy of the Lamb wave signal is employed to reconstruct the image using iterative tomographic algorithms.
vector median filters efficiently reduce noise while preserving image details. However, their high computational complexity for color images makes them impractical for real-time systems. We propose new computationally...
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This paper presents a segmentation algorithm for imageprocessing, which is able to distinguish the background's area from the object's area based only on their texture characteristics. The main goal is to dev...
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ISBN:
(纸本)0819446890
This paper presents a segmentation algorithm for imageprocessing, which is able to distinguish the background's area from the object's area based only on their texture characteristics. The main goal is to develop a segmentation algorithm which does not need any prior information about the object (form, colours, textures, brightness etc.) and which is also robust against industrial conditions (such as shadow effects and electromagnetic noise). The developed solution is based on a predefined and structured background (with a specific frequency in the grey values). The background frequency is compared with the object's texture frequency using a Fourier analysis together with a classification algorithm. Two different types of classification algorithms have been applied: statistical covariance analysis and Neural Networks. The algorithm has been evaluated using real textile images under distinct conditions showing a very appropriated result with a segmentation error smaller than 0,5% in the average. The paper finishes with a set of conclusions and perspectives for future works.
In-flight measurements of spatial resolution were conducted as part of the NASA Scientific Data Purchase verification and validation process. Characterization included remote sensing image products with ground sample ...
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ISBN:
(纸本)0819445827
In-flight measurements of spatial resolution were conducted as part of the NASA Scientific Data Purchase verification and validation process. Characterization included remote sensing image products with ground sample distance of I meter or less, such as those acquired with the panchromatic imager onboard the IKONOS satellite and the airborne ADAR System 5500 multispectral instrument. Final image products were used to evaluate the effects of both the image acquisition system and image post-processing. Spatial resolution was characterized by full width at half maximum of an edge-response-derived line spread function. The edge responses were analyzed using the tilted-edge technique that overcomes the spatial sampling limitations of the digital imaging systems. As an enhancement to existing algorithms, the slope of the edge response and the orientation of the edge target were determined by a single computational process. Adjacent black and white square panels, either painted on a flat surface or deployed as tarps, formed the ground-based edge targets used in the tests. Orientation of the deployable tarps was optimized beforehand, based on simulations of the imaging system. The effects of such factors as acquisition geometry, temporal variability, Modulation Transfer Function compensation, and ground sample distance on spatial resolution were investigated.
In this paper, we discuss the origin, design, performance, and directions of the inAspect high-performance signal and imageprocessing package for Java. The vector Signal and imageprocessing (vSIPL) community provide...
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In this paper, we discuss the origin, design, performance, and directions of the inAspect high-performance signal and imageprocessing package for Java. The vector Signal and imageprocessing (vSIPL) community provides a standardized API (Application Programmer Interface) for high-performance signal and imageprocessing plus linear algebra with a C emphasis and object-based design framework. Java programmers need high performance and/or portable APIs for this broad base of functionality as well. InAspect addresses PDA's, embedded Java boards, workstations, and servers, with emphasis on embedded systems at present. Efforts include supporting integer precisions and utilizing CORDIC algorithms, both aimed at added relevance for limited-performance environments, such as present-day PDAs.
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