Obstructive sleep apnea syndrome (OSAS) in children is correlated to anatomy of the upper airway. Segmented magnetic resonance images of airways from ten OSAS and ten matched control children were used to generate com...
详细信息
Obstructive sleep apnea syndrome (OSAS) in children is correlated to anatomy of the upper airway. Segmented magnetic resonance images of airways from ten OSAS and ten matched control children were used to generate computer flow models. Steady turbulent axisymmetric flow models were solved at peak flow rate to estimate the effect of restricted airway area on pressure drop and resistance. OSAS patients had significantly higher pressure drop and resistance than controls. The magnitude of pressure drop was similar to reported critical airway closure pressures. A subset of OSAS patients had pressure drop and flow resistance similar to controls. Flow modeling may be a useful method to assess the role of anatomy in OSAS.
This paper presents a new filtering scheme for the removal of impulsive noise in color images. It is based on estimating the probability density function for color pixels in a filter window by means of the kernel dens...
详细信息
This paper presents a new filtering scheme for the removal of impulsive noise in color images. It is based on estimating the probability density function for color pixels in a filter window by means of the kernel density estimation method. A quantitative comparison of the proposed filter with the vector median filter shows its excellent ability to reduce noise while simultaneously preserving fine image details.
Automatic data entry plays an important role for improving speed and effectiveness for information technology. In order to recognize forms and join results into a database, it is necessary to correctly isolate geometr...
详细信息
There is considerable interest in motion capture from an image sequence taken from a video camera. However, since the images only consist of 2D information, the distance of an object from the image plane cannot be det...
详细信息
Delay-and-sum (DS) beam-forming is one of the basic beam-forming methods, and it is effective for both narrow- And wide-band sources. However, DS beam-forming exhibits high computational complexity. Recently, a fast m...
详细信息
The prevalent model for second order variation in 3-D volumes is an ellipsoid spanned by the magnitudes of the Hessian eigenvalues. Here, we describe this variation as a vector in an orthogonal shape space spanned by ...
详细信息
We propose new hybrid methods for automated segmentation of radiological patient data and the Visible Human data. In this paper, we integrate boundary-based and region-based segmentation methods which amplifies the st...
详细信息
In this paper, we propose a method for generating realistic shadows of virtual objects inserted into a real video sequence. Our aim is to improve and extend the work of Sato, Sato, and Ikeuchi, (1999), which is based ...
详细信息
ISBN:
(纸本)0769511430
In this paper, we propose a method for generating realistic shadows of virtual objects inserted into a real video sequence. Our aim is to improve and extend the work of Sato, Sato, and Ikeuchi, (1999), which is based on a static camera, to the case of a video sequence. This extension consists of several procedures: calibration of a moving video camera and a graphic camera, removing false shadows occurring due to a shortcoming of the static camera approach for the estimation of an illumination distribution, and so on. The calibration of the moving camera is solved by camera self-calibration and, with it, we designed a flexible graphic world coordinate system embedding technique called "match move". We also show that the shortcoming of the previous static camera approach is overcome by using information from video sequence. Finally we present the experimental results of a real video sequence.
This paper presents an unsupervised range image segmentation based on Kohonen neural network. At first, the derivative and partial derivative of each point are calculated and the normal in each points is gotten. With ...
详细信息
This paper presents an unsupervised range image segmentation based on Kohonen neural network. At first, the derivative and partial derivative of each point are calculated and the normal in each points is gotten. With the character vectors including normal and range value, self-organization map is introduced to cluster. The normal analysis is used to eliminate over-segmentation and the last result is gotten. This method avoid selecting original seeds and uses fewer samples, moreover computes rapidly. The experiment shows the better performance.
We consider the packet reservation window multiple access protocol (PRWMA) that successfully combines voice and data traffic over a cellular network. In agreement with the mobile channel environment, the presence of c...
详细信息
We consider the packet reservation window multiple access protocol (PRWMA) that successfully combines voice and data traffic over a cellular network. In agreement with the mobile channel environment, the presence of capture is also modeled. PRWMA is modified to accommodate the advantages presented by the capture effect. The proposed protocol's capacity and average delay performance is studied under the power capture model through simulations. Experiments indicate that significant performance gains are offered by the new algorithm.
暂无评论