نتایج جستجو برای: smoothing filter

تعداد نتایج: 142492  

Journal: :journal of advances in computer research 2013
marzieh azarian reza javidan mashallah abbasi dezfuli

texture image analysis is one of the most important working realms of imageprocessing in medical sciences and industry. up to present, different approacheshave been proposed for segmentation of texture images. in this paper, we offeredunsupervised texture image segmentation based on markov random field (mrf)model. first, we used gabor filter with different parameters’ (frequency,orientation) va...

2004
Yu-Shen Liu Pi-Qiang Yu Jun-Hai Yong Hui Zhang Jia-Guang Sun

A new predictor of bilateral filter for smoothing meshes is presented. It prevents shrinkage of corners. A major feature of mesh smoothing is to move every vertex along the direction determined by the mean curvature normal with speed defined by the predictor. It prevents unnatural deformation for irregular meshes. In order to remove the normal noise, we use adaptive Gaussian filter to smooth tr...

Journal: :Inf. Sci. 1976
Arunabha Bagchi

A new derivation of continuous-time Kalman Filter equations is presented. The underlying idea has been previously used to derive the smoothing equations. A unified approach to filtering and smoothing problems has thus been achieved.

Objective(s): The aim of this study is to examine the effect of different smoothing filters on the image quality and SUVmax to achieve the guideline recommended positron emission tomography (PET) image without harmonization. Methods: We used a Biograph mCT PET scanner. A National Electrical Manufacturers Association (NEMA) the International Electrotechnical Commission (IEC) body phantom was fil...

Journal: :Journal of the Institute of Industrial Applications Engineers 2019

Journal: :Transactions of the Society of Instrument and Control Engineers 1994

Journal: :IEEE Transactions on Information Theory 1977

Journal: :International Journal of Computer Applications 2015

2003
G. de Jager

An extension of the bilateral filter is described. The proposed filter is a weighted median filter which adaptively estimates the weights in a similar manner to that of the bilateral filter. The proposed filter strikes a compromise between smoothing and preserving important detail.

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