Several researchers are concentrated on cancellation of salt and pepper noise from the two-dimensional signals like digital images and uses several filters like mean filter, median filter, trimmed median filter etc. , for removal of noise. A novel approach has been implemented using a filter so called Additive White Median Filter (AWMF) for filtering the two-dimensional signal which uses a sche...

Several researchers are concentrated on cancellation of salt and pepper noise from the two-dimensional signals like digital images and uses several filters like mean filter, median filter, trimmed median filter etc. , for removal of noise. A novel approach has been implemented using a filter so called Additive White Median Filter (AWMF) for filtering the two-dimensional signal which uses a sche...

Several researchers are concentrated on cancellation of salt and pepper noise from the two-dimensional signals like digital images and uses several filters like mean filter, median filter, trimmed median filter etc. , for removal of noise. A novel approach has been implemented using a filter so called Additive White Median Filter (AWMF) for filtering the two-dimensional signal which uses a sche...

We propose a pattern classification based approach for simultaneous three-dimensional (3-D) object modeling and segmentation in image volumes. The 3-D objects are described as a set of overlapping ellipsoids. The segmentation relies on the geometrical model and graylevel statistics. The characteristic parameters of the ellipsoids and of the graylevel statistics are embedded in a radial basis fu...

The Maximum Likelihood Estimator (MLE) and Extended Quasi-Likelihood (EQL) estimator have commonly been used to estimate the unknown parameters within the joint modeling of mean and dispersion framework. However, these estimators can be very sensitive to outliers in the data. In order to overcome this disadvantage, the usage of the maximum Trimmed Likelihood Estimator (TLE) and the maximum Exte...

Optical Coherence Tomography (OCT) technology introduces speckle, an insidious form of multiplicative noise which degrades the quality of OCT images. In this paper order statistics filters like Mean, Median, Min, Max and Alpha Trimmed Mean are implemented on digital image and OCT images. The images were tested with two different mask sizes of 5*5 and 7*7. The objective evaluation of both the ty...

Yuen's two-sample trimmed mean test statistic is one of the most robust methods to apply when variances are heterogeneous. The present study develops formulas for the sample size required for the test. The formulas are applicable for the cases of unequal variances, non-normality and unequal sample sizes. Given the specified alpha and the power (1-beta), the minimum sample size needed by the pro...

We introduce a non-parametric estimation of the trimmed regression by using local linear method censored scalar response variable, given functional covariate. The main result this work is establishment almost complete convergence for constructed estimator. A simulation study carried out to compare finite sample performance based on mean square error between classic estimator and Moreover, real ...

INTRODUCTION The objective of this study was to determine factors, other than the Diagnostic Related Grouping (DRG), that can explain the variation in the cost of hospitalisation and length of hospital stay (LOS) in older patients. MATERIALS AND METHODS This was a prospective, observational cohort study involving 397 patients, aged 65 years and above. Data collected include demographic inform...