Search results for " means"

Multispectral image denoising with optimized vector non-local mean filter

2016

Nowadays, many applications rely on images of high quality to ensure good performance in conducting their tasks. However, noise goes against this objective as it is an unavoidable issue in most applications. Therefore, it is essential to develop techniques to attenuate the impact of noise, while maintaining the integrity of relevant information in images. We propose in this work to extend the application of the Non-Local Means filter (NLM) to the vector case and apply it for denoising multispectral images. The objective is to benefit from the additional information brought by multispectral imaging systems. The NLM filter exploits the redundancy of information in an image to remove noise. A …

Human, Technologies and Quality of Education: Proceedings of Scientific Papers, 2019

2019

Empirical Likelihood-Based ANOVA for Trimmed Means

2016

In this paper, we introduce an alternative to Yuen’s test for the comparison of several population trimmed means. This nonparametric ANOVA type test is based on the empirical likelihood (EL) approach and extends the results for one population trimmed mean from Qin and Tsao (2002). The results of our simulation study indicate that for skewed distributions, with and without variance heterogeneity, Yuen’s test performs better than the new EL ANOVA test for trimmed means with respect to control over the probability of a type I error. This finding is in contrast with our simulation results for the comparison of means, where the EL ANOVA test for means performs better than Welch’s heteroscedastic…

Diffusion equations with negentropy applied to denoise mammographic images.

2006

Mammography is a radiographic technique used for the detection of breast lesions. The analysis of the digital image normally requires a previous application of filters as a preprocessing step to reduce the noise level of the image, while preserving important details to carry out a suitable diagnostic. In the literature, there are a large amount of denoising techniques applied to different medical images. In this work we have studied the performance of a diffusive filter with a stopping condition based on the statistical concept of negentropy, applied to denoise mammographic images. The negentropy has been succesfully prove with other denoising methods as independent component analysis by th…

On some inequalities for the identric, logarithmic and related means

2015

We offer new proofs, refinements as well as new results related to classical means of two variables, including the identric and logarithmic means.

Comunità non solo come mezzo ma anche come fine

2019

L’originaria condizione di inermità all’insegna della quale Kant concepisce la ragione umana rappresenta qualcosa di più della premessa di una storia di progresso in cui l’uomo si rende via via meno inerme e più reattivo al mondo che abita. Tale condizione suggerisce piuttosto il fatto che non disponiamo della ragione allo stesso modo in cui possiamo disporre di qualunque altra dotazione naturale e che, anzi, per quanto possiamo evolverci, rafforzarci nello sviluppo delle nostre conoscenze ed abilità, non muoveremmo un passo in direzione della nostra umanità, quando ci limitassimo a considerare la ragione come un puro mezzo di affermazione e di potere, e non riconoscessimo invece in essa un…

Comment on ‘Estimating average annual per cent change in trend analysis’ by Clegg LX, Hankey BF, Tiwari R, Feuer EJ, Edwards BK, Statistics in Medici…

2010

Trends in incidence or mortality rates over a specified time interval are usually described by the conventional annual per cent change (cAPC), under the assumption of a constant rate of change. When this assumption does not hold over the entire time interval, the trend may be characterized using the annual per cent changes from segmented analysis (sAPCs). This approach assumes that the change in rates is constant over each time partition defined by the transition points, but varies among different time partitions. Different groups (e.g. racial subgroups), however, may have different transition points and thus different time partitions over which they have constant rates of change, making co…

Emprendimiento en personas con discapacidad. Un diagnóstico a través de la técnica de grupo nominal

2018

The aim of this work is to identify the dimensions and aspects that foster and / or restrict the entrepreneurial action of disabled people from a qualitative methodological perspective. The analysis was carried out by means of the nominal group technique. As a result of the analysis, this work proposes, through the work done with disabled people, a set of interventions that will reduce barriers and foster the entrepreneurship of such vulnerable group

Non Linear Image Restoration in Spatial Domain

2011

International audience; In the present work, a novel image restoration method from noisy data samples is presented. The restoration was per-formed by using some heuristic approach utilizing data samples and smoothness criteria in spatial domain. Unlike most existing techniques, this approach does not require prior modelling of either the image or noise statistics. The proposed method works in an interactive mode to find the best compromise between the data (mean square error) and the smoothing criteria. The method has been compared with the shrinkage approach, Wiener filter and Non Local Means algorithm as well. Experimental results showed that the proposed method gives better signal to noi…

Patch-Based Image Denoising Model for Mixed Gaussian Impulse Noise Using L1 Norm

2017

Image denoising is the classes of technique used to free the image form the noise. The noise in the image may be added during the observation process due to the improper setting of the camera lance, low-resolution camera, cheap, and low-quality sensors, etc. Noise in the image may also be added during the image restoration, image transmission through the transmission media. To obtain required information from image, image must be noise free, i.e., high-frequency details must be present in the image. There are number of applications where image denoising is needed such as remote location detection, computer vision, computer graphics, video surveillance, etc. In last two decades, numbers of m…