gaussian filter matlab’s imgaussfilt3 function (MathWorks Inc)
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gaussian filter matlab’s imgaussfilt3 function
Gaussian Filter Matlab’s Imgaussfilt3 Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
Gaussian Filter Matlab’s Imgaussfilt3 Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/imgaussfilt3/pmc11424629-87-11-13
Average 90 stars, based on 1 article reviews
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2026-09
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other:Article Title: Quantitative evaluation of surface roughness for granular materials using Gaussian filter method Article Snippet: Powder Technology 388 (2021) 251–260 Contents lists available at ScienceDirect Powder Technology j ourna l homepage: www.e lsev ie r .com/ locate /powtec Quantitative evaluation of surface roughness for granular materials using Gaussian filter method Yang Li a,⁎, Masahide Otsubo a, Reiko Kuwano a, Sadegh Nadimi b a Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan b School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK ⁎ Corresponding author.. E-mail addresses: liyang16@iis.u-tokyo.ac.jp (Y. Li), ots (M. Otsubo), kuwano@iis.u-tokyo.ac.jp (R. Kuwano), Sadegh.Nadimi-Shahraki@newcastle.ac.uk (S. Nadimi). https://doi.org/10.1016/j.powtec.2021.04.068 0032-5910/© 2021 Elsevier B.V. All rights reserved. a b s t r a c t a r t i c l e i n f o Article history: Received 19 January 2021 Received in revised form 28 March 2021 Accepted 25 April 2021 Available online 27 April 2021 Keywords: Surface roughness Optical interferometry Gaussian filter Granular materials This contribution proposes a methodology to measure the surface roughness of granular materials using the Gaussian filter.. Artificially generated rough surfaces with known root mean square roughness (Sq) combined with the spherical shape are analysed to determine the optimum cut-off wavelength (σ ∗) adopted in the Gaussian filter. Article Title: Irregular distribution of grid cell firing fields in rats exploring a 3D volumetric space Article Snippet: For this, data were binned using a 2.5-cm 3 grid and smoothed using a Gaussian kernel with an s.d. of 1 Article Title: Irregular distribution of grid cell firing fields in rats exploring a 3D volumetric space Article Snippet: The two dimensions were generated from data projected on to the Cartesian coordinate planes and we also compared volumetric maps generated as multivariate histograms with 10 cm voxels smoothed using a Gaussian with a Article Title: Irregular distribution of grid cell firing fields in rats exploring a 3D volumetric space Article Snippet: Briefly, adaptive binned firing rate maps were oversmoothed ( , Standard Deviation:Article Title: Determination of 3D pore network structure of freeze-dried maltodextrin Article Snippet: This article describes and discusses the determination of the pore network structure from X-ray microcomputed tomography images of freeze-dried maltodextrin based on image processing.. Maltodextrin is used because of its relevance for research and pharmaceutical applications.. Image processing is based on conventional methods for image filtering and binarization, which are specifically the Gaussian filter, anisotropic diffusion filter, and Otsu thresholding as well as adaptive thresholding. Article Title: Non-invasive transcranial volumetric ultrasound localization microscopy of the rat brain with continuous, high volume-rate acquisition Article Snippet: .. The resulting super-resolved volume was Gaussian filtered ( Labeling:Article Title: An entorhinal-like region in food-caching birds. Article Snippet: .. To quantify the volume of a particular labeled brain region, detected cells were binned into cubic voxels with 0.1 mm side length, and the resulting volume was smoothed with the |