Evaluation of advanced sensing systems for Autonomous Vehicle Navigation (AVN) is currently carried out off-line with prerecorded image sequences taken by physically attaching the sensors to the ego-vehicle. The data ...
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ISBN:
(纸本)0819424234
Evaluation of advanced sensing systems for Autonomous Vehicle Navigation (AVN) is currently carried out off-line with prerecorded image sequences taken by physically attaching the sensors to the ego-vehicle. The data collection process is cumbersome and costly as well as highly restricted to specific road environments and weather conditions. This work proposes the use of scientific animation in modelling and representation of real-world traffic scenes and aims to produce an efficient, reliable and cost-effective concept evaluation suite for AVN sensing algorithms. ROSE is organised in a modular fashion consisting of the route generator, the journey generator, the sequence description generator and the renderer. The application was developed in MATLAB and POV-Ray was selected as the rendering module. User-friendly graphical user interfaces have been designed to allow easy selection of animation parameters and monitoring of the generation process. The system, in its current form, allows the generation of various traffic scenarios, providing for an adequate number of static/dynamic objects, road types acid environmental conditions. Initial tests on the robustness of various image processing algorithms to varying lighting and weather conditions have been already carried out.
Cell culture experiments are usually performed as in vitro studies based on 2D seeding and characterization (light microscopy). With respect to the in vivo situation, however, 2D studies are often inappropriate due to...
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Cell culture experiments are usually performed as in vitro studies based on 2D seeding and characterization (light microscopy). With respect to the in vivo situation, however, 2D studies are often inappropriate due to the 3D character of living tissue in nature. Textiles with their versatile 3D structures are chosen as suitable scaffolds in tissue engineering for 3D in vitro studies. Micro-computed tomography using X-rays (muCT) belongs to the most promising techniques for isotropic, noninvasive 3D characterization. Using synchrotron radiation (SRmuCT) the spatial resolution can be extended to the sub-micrometer range well below cell size. muCT does not need vacuum conditions making experiments in the hydrated state possible, as we show by data from SRmuCT acquired at second and third-generation synchrotron sources. We seeded human foreskin fibroblasts on polymer multifilament yarns. These composites, embedded in a hydrogel or fluid, are held in thin-walled glass capillaries. Since the composites consist of light elements, the cells have to be labeled for visualization by the use of highly absorptive agents, osmium and gold. In order to hold the label concentration as low as possible, we present a way to choose the photon energy for which the minimum concentration is reached. Differences in threshold selection for second- and third-generation synchrotron sources are pointed out, revealing the advantages of both types with respect to quantitative analysis. The study is based on appropriate staining methods and protocols developed in our laboratory. With the results we demonstrate that SRmuCT yields images similar to established electron and light microscopy but uncovers also the microstructure in 3D space. (C) 2002 Published by Elsevier Science B.V.
The development of virtual museums provides a new way for digital conservation and display of cultural relics. In virtual museums, 3D acquisition and texture seam restoration of cultural relics are key aspects, which ...
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ISBN:
(纸本)9798400718144
The development of virtual museums provides a new way for digital conservation and display of cultural relics. In virtual museums, 3D acquisition and texture seam restoration of cultural relics are key aspects, which directly affect the quality and realism of digital models. The aim of this study is to assess the accuracy of different processing methods on the effect of 3D acquisition and texture seam repair of artifacts in virtual museums, and to compare their effectiveness in preserving the real features of artifacts and improving the quality of models. By screening samples of artifacts with different complex features and defects and processing them with traditional mapping texture synthesis and clone repair methods, Agrisoft photogrammetry, and hybrid methods, the study quantitatively assesses the indicators of seam repair accuracy, texture mapping consistency, and model geometric accuracy, and analyses the results of 3D capture and texture seam repair of artifacts by using one-way analysis of variance (ANOVA) methods. The results of the study show that there are significant differences between different 3D model processing methods, and that these differences are reflected in all five aspects evaluated. This study provides a basis for accuracy assessment of 3D capture and texture gap repair of artifacts in virtual museums, which helps to guide digital conservation and display in practice.
In embedded systems, many numerical algorithms are implemented with fixed-point arithmetic to meet area cost and power constraints. Fixed-point encoding decisions can significantly affect cost and performance. To eval...
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ISBN:
(纸本)9781479962785
In embedded systems, many numerical algorithms are implemented with fixed-point arithmetic to meet area cost and power constraints. Fixed-point encoding decisions can significantly affect cost and performance. To evaluate their impact on accuracy, designers resort to simulations. Their high running-time prevents thorough exploration of the design-space. To address this issue, analytical modeling techniques have been proposed, but their applicability is limited by scalability issues. In this paper, we extend these techniques to a larger class of programs. We use polyhedral methods to extract a more compact, graph-based representation of the program. We validate our approach with a several image and signal processingalgorithms.
Urinary sediment inspecting is, that doctor counts the organic visible sediments in urinary and different sediments components so that we can know the status of kidney disease. In this system, we adopt the digital ima...
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ISBN:
(纸本)9780769535630
Urinary sediment inspecting is, that doctor counts the organic visible sediments in urinary and different sediments components so that we can know the status of kidney disease. In this system, we adopt the digital image microscope technology to observe directly the visible components which include RBC, WBC, Cast, Crystal etc in urinary sediment. The proposed method which uses the computer image recognition and SVM technology carries out automatically sampling image and analyzing and diagnosis the diseases. Moreover, it not only alleviates the doctors' workload and avoids omission or repetitive counting, but also improves the accuracy of counting and is convenience to saving and processingimage and others the guarantee for the following analysis and summary.
This paper is built upon the feedback of the Ode ToolBox development team in the task of selecting, implementing and qualifying state-of-the-art image processing algorithms from the literature. It enforces the need to...
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ISBN:
(纸本)9781424433940
This paper is built upon the feedback of the Ode ToolBox development team in the task of selecting, implementing and qualifying state-of-the-art image processing algorithms from the literature. It enforces the need to release reference implementations along with published materials, and insists on the benefits expected for both the authors and the scientific community. Finally, it exposes the numerous advantages of integrating such reference implementations into a rich software framework like the Orfeo ToolBox. Short algorithm implementation stories are given to support the different points.
作者：
Wei, HuiWang, Xiao-MeiFudan Univ
Dept Comp Sci Lab Cognit Model & Algorithm Brain Sci Res Ctr Shanghai 200433 Peoples R China
According to Biology there is a large disinhibitory area outside the classical receptive field (CRF), which is called as non-classical receptive field (nCRF). Combining CRF with nCRF could increase the sparseness, rel...
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ISBN:
(纸本)9781424496365
According to Biology there is a large disinhibitory area outside the classical receptive field (CRF), which is called as non-classical receptive field (nCRF). Combining CRF with nCRF could increase the sparseness, reliability and precision of the neuronal responses. This paper is aimed at the realization of the neural circuit and the dynamic adjustment mechanism of the receptive field (RF) with respect to nCRF. On the basis of anatomical and electrophysiological evidence, we constructed a neural computational model, which can represent natural images faithfully, simply and rapidly. And the representation can significantly improve the subsequent operation efficiency such as segmentation or integration. This study is of particular significance in the development of efficient image processing algorithms based on neurobiological mechanisms. The RF mechanism of ganglion cell (GC) is the result of a long term of evolution and optimization of self-adaptability and high representation efficiency. So its performance evaluation in natural imageprocessing is worthy of further study.
Determining the effective MTF, SNR and Sensor geometries of multi-aperture computational imaging architectures will allow the National image Interpretability Rating Scale to be applied to computational imagers. An app...
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Around 177,757 people worldwide lose their lives to oral cancer each year, the most prevalent type of head and neck cancer. A 75-90% chance of survival for oral cancer is achieved with early identification. However, t...
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A novel imaging system is developed to overcome the challenge of paraffin contamination in fixed tissues. Single-shot wide-field micro-images are captured to construct large-scale collagen-maps for understanding tendo...
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ISBN:
(数字)9781510647114
ISBN:
(纸本)9781510647114;9781510647107
A novel imaging system is developed to overcome the challenge of paraffin contamination in fixed tissues. Single-shot wide-field micro-images are captured to construct large-scale collagen-maps for understanding tendon damage and healing processes.
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