The proceedings contains 28 papers from the conference on Visual data Exploration and Analysis viii. Topics discussed include: some aspects of role of audio in immersive visualization;internet-based out-of-core flow v...
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The proceedings contains 28 papers from the conference on Visual data Exploration and Analysis viii. Topics discussed include: some aspects of role of audio in immersive visualization;internet-based out-of-core flow visualization;animating 2D velocity fields;visual clustering of image search results;visualizing membership in multiple clusters after fuzzy c-means clustering;data-dependent gradient quantization scheme for the acceleration of volume rendering;and visualization of hologram reconstruction.
The improved quality of InSAR data suggests to utilize such data for analysis of urban areas. But, the phase information from which the height data is calculated, is often severely disturbed, depending on the signal t...
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ISBN:
(纸本)0819440779
The improved quality of InSAR data suggests to utilize such data for analysis of urban areas. But, the phase information from which the height data is calculated, is often severely disturbed, depending on the signal to noise ratio. As a consequence, irregular height jumps occur even inside flat objects. In this paper we refer to investigations to stabilize and improve the InSAR height data. After preprocessing, a segmentation is carried out in the intensity and the height data. Inside the extracted segments the height data is smoothed, using the related intensity or coherence values as weights. For every segment the weighted average height is calculated. Preliminary hypotheses for buildings are identified a by significant height over surrounding ground. In a post-processing step, the intermediate results are analyzed and corrected due to a possible over- and under-segmentation. Adjacent objects with similar heights are merged and objects including shadow areas are split. The shadow areas are detected by structural image analysis in a production net environment exploiting collateral information, like sensor position and depression angle. The derived 3D information may be used for visualization or map update tasks. A test site including the airport of Frankfurt (Main) was chosen. For the visualization purpose, a 3D view of the smoothed height data is shown. The results are compared to a map and differences are depicted and discussed.
Under ideal circumstances the problem of tomographic reconstruction is well-posed, and measured data are sufficient to obtain accurate estimates of volume densities. In such cases segmentation and surface estimation f...
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We study the 3D reconstruction of a binary scene from X-ray tomographic data. In the special case of a compact and uniform object lying in a uniform background, the scene is entirely defined by the object surface. The...
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We study the 3D reconstruction of a binary scene from X-ray tomographic data. In the special case of a compact and uniform object lying in a uniform background, the scene is entirely defined by the object surface. Then, we select parametric surface models, and we directly estimate their parameters from the data. After showing the ability of spherical harmonics and first order splines (polyhedra) to recover complex shapes, we develop an original method to estimate their parameters without using a voxel representation of the scene (object and background). reconstructions are based on the optimization of regularized criteria, which account for the surfaces local smoothness. We use local optimization schemes, and we put the stress on their algorithmic aspects. We finally show the performance of the method on a set of incomplete synthetic data.
A statistical model for the object and the complete image formation process in cryo electron microscopy of viruses is presented. Using this model, maximum likelihood reconstructions of the 3D structure of viruses are ...
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ISBN:
(纸本)0819437689
A statistical model for the object and the complete image formation process in cryo electron microscopy of viruses is presented. Using this model, maximum likelihood reconstructions of the 3D structure of viruses are computed using the expectation maximization algorithm and an example based on Cowpea mosaic virus is provided.
Optical diffusion imaging is a new imaging modality that promises great potential in applications such as medical imaging, environmental sensing and nondestructive testing. It presents a difficult nonlinear image reco...
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ISBN:
(纸本)0819437689
Optical diffusion imaging is a new imaging modality that promises great potential in applications such as medical imaging, environmental sensing and nondestructive testing. It presents a difficult nonlinear imagereconstruction problem however. An inversion algorithm is formulated in a Bayesian framework, and an efficient optimization technique that uses iterative coordinate descent is presented. A general multigrid optimization technique for nonlinear imagereconstruction problems is developed and applied to the optical diffusion imaging problem. Numerical results show that this approach improves the quality of reconstructions and dramatically decreases computation times.
作者:
Power, GJUSAF
Res Lab Wright Patterson AFB OH 45433 USA
When imaging the ground from the air, distortions can occur if the imagery was created from an electro-optical line scanner pointing to nadir and mounted on the bottom of all airborne platform. The inability of the ai...
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ISBN:
(纸本)0819437689
When imaging the ground from the air, distortions can occur if the imagery was created from an electro-optical line scanner pointing to nadir and mounted on the bottom of all airborne platform. The inability of the aircraft to maintain a perfect trajectory can cause the distortions. In the worst case scenario, camera stabilizers fail, no geographical reference or navigation data is available, and the sensor periodically fails leaving incompletedata for imagereconstruction. Motion compensation can restore the images. This paper describes various distortions that can be created for an airborne nadir-aimed line scanner. A motion-compensation technique is introduced that combines multiple cues from geographical reference and navigation data as well as line-scan matched filtering. A semi-automated restoration implementation is introduced followed by the automated line-scan matched filter implementation. These various compensation techniques provide backup for each other thus creating a more efficient motion-compensation system. Even in the worst case scenario, the system continues to attempt motion compensation using an optimal line-scan matched filtering technique. The results of using this automated technique for motion compensation is demonstrated using simulated high-definition imagery and then using actual electro-optical and hyperspectral images that were obtained from the Dynamic data Base (DDB) program sponsored LS the Defense Advanced Research Projects Agency (DARPA).
The central problem in the determination of protein structures from x-ray diffraction data (x-ray crystallography) corresponds to a phase retrieval problem with undersampled amplitude data. Algorithms for this problem...
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ISBN:
(纸本)0819437689
The central problem in the determination of protein structures from x-ray diffraction data (x-ray crystallography) corresponds to a phase retrieval problem with undersampled amplitude data. Algorithms for this problem that have an increased radius of convergence have the potential for reducing the amount of experimental work, and cost, involved in determining protein structures. We describe such an algorithm. Application of the algorithm to a simulated crystallographic problem shows that it converges to the correct solution, with no initial phase information, where currently used algorithms fail. The results lend support to the possibility of ab initio phasing in protein crystallography.
Accurate reconstruction of attenuation maps fromincomplete sinograms are required in some cases of SPECT and PET imaging. This paper proposes a new method to directly reconstruct segmented attenuation maps from the i...
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Accurate reconstruction of attenuation maps fromincomplete sinograms are required in some cases of SPECT and PET imaging. This paper proposes a new method to directly reconstruct segmented attenuation maps from the incomplete sinograms. The proposed method is based on an image labeling technique where an optimum label configuration minimizing some energy function is found by using a stochastic sampling with simulated annealing Unlike ordinary image labeling techniques, however, we introduce a powerful constraint called the topology-preserving constraint. This constraint reduces the search space to a set of label configurations having the same topology as the known topology of the attenuation map in question. The experimental results demonstrate that the topology-preserving constraint is powerful enough to reconstruct accurate segmented attenuation aiaps from the incomplete sinograms. The proposed method is tested with simulated data and PET transmission data.
Multi-slice helical beam scanning involves cone-beam geometry. The primary advantages for use of divergent cone-beams include reduced data acquisition, improved image resolution and optimized photon utilization. Due t...
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ISBN:
(纸本)0819437689
Multi-slice helical beam scanning involves cone-beam geometry. The primary advantages for use of divergent cone-beams include reduced data acquisition, improved image resolution and optimized photon utilization. Due to the complexity of 3-dimensional cone-beam reconstruction, approximate algorithms have been sought to handle the cone-beam reconstruction. This paper presents a new approximate algorithm termed as oblique surface reconstruction (OSR). Theoretical considerations as well as the reconstruction of simulated phantom data in comparison to the current standard 180 degrees LI are presented. OSR is shown to be effective and practical to generate images with diagnostic quality.
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