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126 articles for “filter approach”

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Research ArticleOpen accessIn the abstractExperimental Evaluation of Adaptive Step-Size Based FxLMS Approach for Active Noise Control in Magnetic Resonance Imaging SystemsI. Juvanna, Uppu Ramachandraiah, G. Muthukumaran et al.Magnetic Resonance Imaging (MRI) scanners emit up to 135 decibels of acoustic noise, which is a major source of discomfort for patients and personnel evaluating them during routine medical scans, necessitating the development of a method to reduce the acoustic noise generated during MRI testing. The goal of this study is to propose a frequency-domain Active Noise Control (ANC) method … …Journal of Computer Science, Vol. 18, Issue 12 · 24 Nov 2022 · 5,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractSchoenberg Logarithmic Image Similarity in Prewitt-Gabor-Zernike DomainAhmed Jebur Ali, Zahir M. Hussain, Mohammed Sahib Mechee, Zainab Ali KhalafThis paper represents a new approach for face recognition that incorporates Prewitt edge detection, Gabor filter and Zernike moments to transform the image into a unified domain. On this joint domain, five distance metrics are constructed using Schoenberg transform for the purpose of defining efficient similarity measures for holistic face recognition. The proposed Schoenberg similarity applies Schoenberg transform to the … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 28 Sep 2017 · 7,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractHigh 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 · 7,235 accessesView PDFCite
Research ArticleOpen accessIn the abstractIris 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 · 7,426 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtended 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 · 6,940 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital 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 · 7,956 accessesView PDFCite
Research ArticleOpen accessIn the abstractK-MEANS BASED IMAGE DENOISING USING BILATERAL FILTERING AND TOTAL VARIATIONDanu Wiroteurairuang, Sanun Srisuk, Chom Kimpan, Thanwa SripramongBilateral filter and Total variation image denoising are widely used in image denoising. In low noisy level, bilateral filtering is better than TV denoising for it reveals better SNR and sharper edges. However, in high noisy level, TV denoising outperforms bilateral filtering in terms of SNR and more details of non edges. It is very difficult to perform denoising of … …Journal of Computer Science, Vol. 10, Issue 12 · 30 Dec 2014 · 8,175 accessesView PDFCite
Research ArticleOpen accessIn the abstractADDITIVE AND MULTIPLICATIVE NOISE REMOVAL BASED ON ADAPTIVE WAVELET TRANSFORMATION USING CYCLE SPINNINGAsem Khmag, Abd Rahman Ramli, Syed Abdul Rahman Al-Haddad, Shaiful Jahari Bin HashimThe need for image restoration is encountered in many practical applications. For instance, distortion due to Additive White Gaussian Noise (AWGN) or in some cases the multiplicative (speckle) one can be caused by poor quality image acquisition. Wavelet denoising attempts to remove these types of noise present in the signal while preserving the signal characteristics, regardless of its frequency content. … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 7,632 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network in Face Detection Human on Digital ImageAbdusamad Al-MarghilaniMethod itself is proposed to be formed by series of filters. Each filter is an independent method of detection and allows you to cut off quickly the regions that do not contain the face’s areas. For this purpose some of the different characteristics of the object are used in addition each subsequent part processes only promising areas of image which … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 6 Sep 2013 · 6,694 accessesView PDFCite