Recent advances in the hardware of handheld devices, opened up the way for newer applications in the healthcare sector, and more specifically, in the teleconsultation field. Out of these devices, this paper focuses on...
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Recent advances in the hardware of handheld devices, opened up the way for newer applications in the healthcare sector, and more specifically, in the teleconsultation field. Out of these devices, this paper focuses on the services that personal digital assistants and smartphones can provide to improve the speed, quality and ease of delivering a medical opinion from a distance and laying the ground for an all-wireless hospital. In that manner, PDAs were used to wirelessly support the viewing of digital imaging and communication in medicine (DICOM) images and to allow for mobile videoconferencing while within the hospital. Smartphones were also used to carry still images, multiframes and live video outside the hospital. Both of these applications aimed at increasing the mobility of the consultant while improving the healthcare service.
This paper proposes an integrative approach that facilitates physicians to semi automatically obtain a 3-D symbolic representation of cerebral vasculature from 3-D magnetic resonance angiography (MRA) datasets. In thi...
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ISBN:
(纸本)0769519016
This paper proposes an integrative approach that facilitates physicians to semi automatically obtain a 3-D symbolic representation of cerebral vasculature from 3-D magnetic resonance angiography (MRA) datasets. In this approach, firstly vessels are segmented by morphology method followed by 3-D parallel thinning to obtain the one voxel wide skeleton. Then a novel method employing general tree and its combinations is introduced to depict the 3-D geometrical structure of the vasculature. With the generated tree, post processing, such as traversal and visualization, is implemented. The method has been tested on both synthetic images and real images;the results are promising. A system based on this approach provides a useful visualization tool of the intracerebral vasculature for clinic applications.
The gene section ordering on solving traveling salesman problems is analyzed by numerical experiments. Some improved crossover operations are presented. Several combinations of genetic operations are examined and the ...
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The gene section ordering on solving traveling salesman problems is analyzed by numerical experiments. Some improved crossover operations are presented. Several combinations of genetic operations are examined and the functions of these operations are analyzed. The essentiality of the ordering of the gene section and the significance of the evolutionary inversion operation are discussed. Some results and conclusions are obtained and given, which provide useful information for the implementation of the genetic operations for solving the traveling salesman problem.
This paper proposes an integrative approach that facilitates physicians to semi automatically obtain a 3-D symbolic representation of cerebral vasculature from 3-D magnetic resonance angiography (MRA) datasets. In thi...
详细信息
ISBN:
(纸本)0769519016
This paper proposes an integrative approach that facilitates physicians to semi automatically obtain a 3-D symbolic representation of cerebral vasculature from 3-D magnetic resonance angiography (MRA) datasets. In this approach, firstly vessels are segmented by morphology method followed by 3-D parallel thinning to obtain the one voxel wide skeleton. Then a novel method employing general tree and its combinations is introduced to depict the 3-D geometrical structure of the vasculature. With the generated tree, post processing, such as traversal and visualization, is implemented. The method has been tested on both synthetic images and real images; the results are promising. A system based on this approach provides a useful visualization tool of the intracerebral vasculature for clinic applications.
Driven by potential applications in military, biology, robot navigation and other areas, various methods for optical pattern recognition have been proposed and studied over the past decades. The key feature in current...
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Driven by potential applications in military, biology, robot navigation and other areas, various methods for optical pattern recognition have been proposed and studied over the past decades. The key feature in current real-time optical pattern recognition systems among these methods is the use of a spatial light modulator (SLM) at the Fourier transform plane in the so-called joint-Fourier transform correlation (JTC) system [C.S Weaver et al. (1966)]. We propose a novel hybrid (optical/electronic) processing technique to achieve real-time joint-transform correlation. The technique employs acousto-optic heterodyne scanning [T.-C. Poon et al., 1979] and it does not require a SLM at the Fourier plane as in other conventional real-time JTC systems. This departure from the conventional scheme is extremely important, as it does not depend on SLM design considerations and issues such as phase uniformity and contrast ratio. The effectiveness of the novel proposed system will be demonstrated with some experimental results. Future work will be focused on exploring scale-invariant, rotation-invariant and multiobject joint-transform correlation with this hybrid optical pattern recognition method.
The performance of high-resolution DOA estimation methods seriously degenerates when there are model errors in array manifold. According to various prior knowledge of array manifold, this paper classifies series of ar...
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The performance of high-resolution DOA estimation methods seriously degenerates when there are model errors in array manifold. According to various prior knowledge of array manifold, this paper classifies series of array self-calibration methods based on second order statistics, then discusses them and concludes their advantages and disadvantages, finally gives some prospect for research on self-calibration.
We consider a cross-layer design approach for CDMA mobile wireless networks supporting heterogeneous compressed video. By considering the resource requirements as the aggregate of the products of source coding rates a...
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We consider a cross-layer design approach for CDMA mobile wireless networks supporting heterogeneous compressed video. By considering the resource requirements as the aggregate of the products of source coding rates and the energy per information bit to noise ratio, we propose a cross-layer optimization approach for video delivery over CDMA cellular networks. In particular, we describe a joint source coding-power control (JSCPC) strategy used in conjunction with joint source-channel coding (JSCC) and employing the class of rate-compatible punctured convolutional (RCPC) codes to provide forward error correction (FEC) coding. We show that this cross-layer approach can simultaneously maximize the quality of the delivered video while minimizing the total resource consumption, thereby providing higher spectral efficiency and improved network utilization. We demonstrate the efficacy of this approach using the ITU-T H.263+ video coder.
With the rapid increase of data areal density in disk drives, the need for more accurate position sensing and velocity estimation techniques for the disk drive head actuator emerges. This paper studies the application...
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With the rapid increase of data areal density in disk drives, the need for more accurate position sensing and velocity estimation techniques for the disk drive head actuator emerges. This paper studies the application of velocity estimation methods for disk drive head positioning servo-mechanism with a focus on adaptive windowing velocity estimation. The adaptive windowing technique requires no prior knowledge of measurement noise and shows a better performance compared to conventional finite difference method and Kalman filtering technique. We have compared the performance of adaptive velocity estimation methods under study over a noisy position trajectory in terms of measures for error statistics and undesired shifting. The undesired shifting measure has been developed to reflect the estimation delay and outliers. The simulation results show the superiority of adaptive windowing velocity estimation to conventional methods.
A new emulated digital multi-layer CNN-UM chip architecture called Falcon has been developed. Simulation running time can be hundred times shorter using the Falcon processor array compared to the software simulation. ...
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A new emulated digital multi-layer CNN-UM chip architecture called Falcon has been developed. Simulation running time can be hundred times shorter using the Falcon processor array compared to the software simulation. This huge computing power makes real time imageprocessing possible. In this paper the main steps of the FPGA implementation and optimization are introduced. The Distributed Arithmetic technique is used to optimize the architecture on FPGAs. Using this technique, smaller and faster arithmetic units can be designed than using conventional approach where multiplier cores and adder trees are used to compute the state equation of the CNN array.
We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identifi...
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We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identification of a human face. Conventional surveillance or security systems, however, usually provide poor image quality because they use only fixed cameras to record scenes passively. We have implemented a real-time surveillance system that tracks a moving face using four pan-tilt-zoom (PTZ) cameras. While tracking, the region-of-interest (ROI) can be obtained by using a low-pass filter and background subtraction with the PTZ. Color information in the ROI is updated to extract features for optimal tracking and zooming. FaceIt/sup /spl reg//, which is one of the most popular face recognition software packages, is evaluated and then used to recognize the faces from the video signal. Experimentation with real human faces showed highly acceptable results in the sense of both accuracy and computational efficiency.
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