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394 articles for “Filter”

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Research ArticleOpen accessEvery word in the titleA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSoftware-based Control Algorithm for Providing Convergence Region with an Increasing Polynomial under Windowed FIR FiltersSergio Bimbi Junior, Vitor Chaves De Oliveira, Agenor De Toledo Fleury, Ronaldo RuasThis work developed a control algorithm for dynamical systems to high performance manner, in a way to produce an optimum output applying a modification in digital filters, capable of increasing the convergence zone within the desired cut -off frequency. Such task focused on consistently improving the challenge present in digital filters, which are time-invariant linear systems that are able to … …Journal of Computer Science, Vol. 14, Issue 7 · 17 Jul 2018 · 8,408 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHigh Density Salt and Pepper Noise Filter based on Shepard Interpolation MethodChaipichit Cumpim, Rachu PunchalardThis paper has proposed the technique in order to remove salt-and-pepper noise from the corrupted image. The proposed scheme consists of two steps. The first, the adaptive median filter is applied to noisy image for detecting noisy and noise-free pixels. Finally, the output image of previous step will be divided into many non-overlapping windows of which the noise-free pixel values … …Journal of Computer Science, Vol. 13, Issue 7 · 20 Jul 2017 · 7,231 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWater Filter Fabrication from a Mixture of KMnO4 Modified Kapok Carbon Fiber, Zeolite, Bentonite and Clay for Fe3+Removal and Water Hardness TreatmentKannika Thongdee, Kalayaporn Parun, Suphakrit Benjatitmongkhon et al.A water filter was fabricated from a mixture of KMnO4 modified kapok carbon fiber, zeolite, bentonite and kaolinite clay for Fe3+ removal and water hardness treatment. The effects of amount of KMnO4 modified kapok carbon fiber (30-60 wt%), zeolite (20-40 wt%) and sintering temperature (500-700°C) on the properties of sintered products were evaluated. The best of sintered products were tested … …American Journal of Applied Sciences, Vol. 14, Issue 6 · 15 Jun 2017 · 7,580 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultiple Vehicle Tracking using Adaptive Gaussian Mixture Model and Kalman FilterFandy Setyo UtomoBased on data from the Central Statistics Agency (BPS) of the Republic of Indonesia in catalog Crime Statistics in 2014, the number of crimes of theft of motor vehicles has increased since 2010 until 2013. Recorded in 2013 the number reached 42.508 cases of theft. In this study, we made a prototype application using Adaptive Gaussian Mixture Models algorithms and … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 22 Dec 2016 · 7,375 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIris Recognition Using Gauss Laplace FilterRomany F. MansourBiometrics deals with recognition of individuals based on their behavioral or biological features. The recognition of IRIS is one of the newer techniques of biometrics used for personal identification. It is one of the most widely used and reliable technique of biometrics. In this study a novel approach is presented for IRIS recognition. The proposed approach uses Gauss Laplace filter … …American Journal of Applied Sciences, Vol. 13, Issue 9 · 15 Sep 2016 · 7,421 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmbedded Architecture for Object Tracking using Kalman FilterAhmad Abdul Qadir Al RababahIntelligent video is a new area of research fairly wide allowing to do a study, analysis, or interpretation of digital video such as motion analysis. However, for a video surveillance system, a motion analysis task of digital video includes the detection of moving objects and their tracking. The object detection allows the location of the regions of interest, which represents … …Journal of Computer Science, Vol. 12, Issue 5 · 18 May 2016 · 7,419 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExtended Kalman Filter versus Newton-Lowe's Method for Robot Pose EstimationMohammad Ehab RagabIn this work, we study the pose estimation problem of anautonomous mobile robot. Particularly, we compare the Extended Kalman Filter (EKF) to Lowe's method based on the iterative Newton's method for solving a system of nonlinear equations. Although the EKF is recursive which renders it suitable for the real-time problem at hand, Lowe's method has much less dimensionality. This is … …Journal of Computer Science, Vol. 11, Issue 7 · 5 Nov 2015 · 6,937 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetecting an Anomaly Behavior through Enhancing the Mechanism of Packet FilteringMohammed Nazeh Abdul Wahid, Azizol AbdullahThe fundamental task of the Network Traffic Analysis is the ability of capturing and monitoring all the network traffics (incoming and outgoing) for local area network LAN and how the network analyzer is able to analyze and detect errors or any type of suspicious activities such as intruders. The idea of this research is to use flexible packet filtering to … …Journal of Computer Science, Vol. 11, Issue 6 · 1 Sep 2015 · 6,950 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDigital High-Pass Filters with Milder High-Pass Effect on Digital ImagesIssa A. Al-ShakhrahImage filtering consists of modifying the original image by logically "reimaging" it with a mathematical imaging device in which spatial response can be controlled by the user. Image filtering is performed by a mathematical operation called convolution, which is simply the successive replacement of each point in the original image by a new value produced by a weighted combination of … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 3 · 11 Jun 2015 · 7,950 accessesView PDFCite