In this paper, a special preprocessing operations (filter) is proposed to decrease the effects of noise of textures. This filter using average of circular neighbor points (Cmean) to reduce noise effect. Comparing this filter with other average filters such as square mean filter and square median filter indicates that it provides more noise reduction and increases the classification accuracy...

This paper proposes a new hybrid method based on Homomorphic filtering and anisotropicdiffusion equations for image denoising. In this method, the Homomorphic filtering extracts the reflectionand illumination components of a noisy image. Then a suitable image denoising method based onanisotropic diffusion is applied to each components with its special user-defined parameters .This hybridscheme ...

This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. In the proposed filtering algorithm, the rule membership functions are tuned iteratively in order to preserve the image edges. Several test experiments we...

conclusion various filters are needed to improve the image quality. in this study, seven different filters were implemented and investigated on both noisy and noise-free images. background developmental dysplasia of the hip (ddh) can be detected with ultrasonography (usg) images. however, the accuracy of this method is dependent on the skill of the radiologist. radiologists measure the hip join...

purpose : to evaluate usefulness of anterior segment optical coherence tomography (as-oct) in evaluation of filtering bleb functionality and to correlate its findings with clinical bleb examination methods : in this cross-sectional, descriptive study 55 eyes with apparently functional bleb were evaluated. following a comprehensive ophthalmic examination, filtering bleb grading was performed bas...

There have been several efforts in the literature to extract as much information as possible from the financial networks. Most of the research has been concerned about the hierarchical structures, clustering, topology and also the behavior of the market network; but not a notable work on the network filtration exists. This paper proposes a stock market filtering model using the correlation - ba...

This thesis proposes a novel credit risk model which deals with incomplete information on the firm’s asset value. Such incompleteness is due to reporting bias deliberately introduced by insider managers and executives of the firm and unobserved by outsiders. The pricing of corporate securities and the evaluation of default measures in our credit risk framework requires the solution of a computa...

We consider a reduced-form credit risk model where default intensities and interest rate are functions of a not fully observable Markovian factor process, thereby introducing an information-driven default contagion effect among defaults of different issuers. We determine arbitrage-free prices of OTC products coherently with information from the financial market, in particular yields and credit ...

We consider filtering problems that arise in Markovian factor models for the term structure of interest rates and for credit risk. Investors are supposed to have only incomplete information about the factors and so their current state has to be inferred/filtered from observable financial quantities. Our main goal is the pricing of derivative instruments in the interest rate and credit risk cont...

PURPOSE To determine the efficacy and safety of subconjunctival 5- fluorouracil injections after trabeculectomy in patients with poor prognoses, to determine risk factors for surgical failure and to examine the relationship of intraocular pressure and visual function. METHODS In this multicenter clinical trial, 213 patients with previous cataract surgery or previous failed filtering surgery w...