This paper proposes a novel method which combines both median filter and simple standard deviation to accomplish an excellent edge detector for image processing. First of all, a denoising process must be applied on the grey scale image using median filter to identify pixels which are likely to be contaminated by noise. The benefit of this step is to smooth the image and get rid of the noisy pix...

objectives: knowledge about gender differences in intra-limb coordination during walking provides insight into the adaptability of central nervous system for controlling gait in older adults. we assessed the variability and phase dynamic of the intra-limb coordination in older men and women during walking. methods: twenty two older people, 11 female and 11 male, participated in this study. they...

Non-linear force-free fields are the most general case of force-free fields, but the hardest to model as well. There are numerous methods of computing such fields by extrapolating vector magnetograms from the photosphere, but very few attempts have so far made quantitative use of coronal morphology. We present a method to make such quantitative use of X-Ray and EUV images of coronal loops. Each...

We present a stochastic optimization model for hotel revenue management with multipleday stays under an uncertain environment. Since a decision maker may face several scenarios when renting out rooms, we use a semi-absolute deviation model to measure the risk of hotel revenue, and only consider the risk of falling below the expected revenue. The method proposed in this paper can be changed to a...

In this paper, a new object-based method to estimate noise in magnitude MR images is proposed. The main advantage of this object-based method is its robustness to background artefacts such as ghosting. The proposed method is based on the adaptation of the Median Absolute Deviation (MAD) estimator in the wavelet domain for Rician noise. The MAD is a robust and efficient estimator initially propo...

A fundamental step towards broadening the use of real world image-based visual servoing is to deal with the important issues of reliability and robustness. In order to address this issue, a closed loop control law is proposed that simultaneously accomplishes a visual servoing task and is robust to a general class of external errors. This generality allows concurrent consideration of a wide rang...

In this paper, we are concerned with the problem of deciding whether a tted model accurately describes the data to which it has been tted. We have developed an eeective method of testing the lack-of-t of a parametric model to data, with applications to the computer vision problems of robust estimation, model selection, and curve and surface segmentation. The beneets of this technique are high s...