in many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. in this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

background: a method to track liver tumor motion signals from fluoroscopic images without any implanted gold fiducial markers was proposed in this study to overcome the adverse effects on precise tumor irradiation caused by respiratory movement. materials and methods: the method was based on the following idea: (i) before treatment, a series of fluoroscopic images corresponding to different bre...

chest radiography is a common diagnostic imaging test, which contains an enormous amount of information about a patient. however,its interpretation is highly challenging. the accuracy of the diagnostic process is greatly influenced by image processing algorithms;hence enhancement of the images is indispensable in order to improve visibility of the details. this paper aims at improving radiograp...

Offensive language has arisen to be a big issue to the health of both online communities and their users. To the online community, the spread of offensive language undermines its reputation, drives users away, and even directly affects its growth. To users, viewing offensive language brings negative influence to their mental health, especially for children and youth. When offensive language is ...

introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...

We have proposed a fault-prone software module detection method using text-filtering approach, called Fault-proneness filtering. Even though the fault-proneness filtering achieved high accuracy in detecting fault-prone modules, the detail of each fault cannot be specified enough. We thus try to complete such weakness of the fault-proneness filtering by using static code analysis. To do so, we a...

A sinogram is image representation of raw data obtained from projections of the object for image reconstruction. Radial sinogram domain filtering, i.e. filtering along the projections of the sinogram, is a common noise reduction technique for the data. The stackgram domain, in which the signals along the sinusoidal trajectories of the sinogram can be processed separately, is a new method for si...

Particle filtering is a sequential Monte Carlo technique that recursively computes the posterior probability density function using the concept of “Importance Sampling”. This paper considers the application of particle filtering technique to a target tracking application, in which a radar sends a signal towards a target and estimates the state (position and velocity) of the target using the obs...

While most measures of working memory (WM) performance have been shown to plateau by mid-adolescence and developmental changes in fronto-parietal regions supporting WM encoding and maintenance have been well characterized, little is known about developmental variation in WM filtering. We investigated the possibility that the neural underpinnings of filtering in WM reach maturity later in life t...

a filtering power divider/power combiner based on half mode substrate integrated waveguide technology for high power applications is proposed. this design includes one half mode substrate integrated waveguide cavity, one matched load, and four sections of quarter-wavelength transmission lines. the high isolation between output ports is obtained by combining the half mode substrate integrated wa...