5 × 5 spatial gaussian filter matlab function: fspecial and imfilter Search Results


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MathWorks Inc gaussian low-pass filter
Gaussian Low Pass Filter, 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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MathWorks Inc imfilter
Imfilter, 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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MathWorks Inc fspecial
Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and <t>Gaussian</t> fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.
Fspecial, 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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MathWorks Inc matlab function imfilter
Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and <t>Gaussian</t> fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.
Matlab Function Imfilter, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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MathWorks Inc matlab functions: fspecial
Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and <t>Gaussian</t> fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.
Matlab Functions: Fspecial, 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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matlab functions: fspecial - by Bioz Stars, 2026-04
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MathWorks Inc 2d gaussian low pass filter
Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and <t>Gaussian</t> fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.
2d Gaussian Low Pass Filter, 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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MathWorks Inc imread
Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and <t>Gaussian</t> fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.
Imread, 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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MathWorks Inc blockproc function
Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and <t>Gaussian</t> fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.
Blockproc 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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Image Search Results


Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and Gaussian fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.

Journal: Materials

Article Title: Surface Morphology Evolution during Chemical Mechanical Polishing Based on Microscale Material Removal Modeling for Monocrystalline Silicon

doi: 10.3390/ma15165641

Figure Lengend Snippet: Surface area–volume model simulation of two neighboring parabolic cracks (thick line) and Gaussian fitting results (thin line) in 2D. The etching rate for bulk silica material was 1.74 μm/h , and the etching time was 1–5 h.

Article Snippet: The MATLAB ‘fspecial’ and ‘imfilter’ command predefined a rotationally symmetric Gaussian image filter, in which the Gaussian function in 2D satisfies (16) y = a · e x p [ − x − b c 2 ] .

Techniques:

RMS roughness evolution for 17,550 loops with Gaussian blur over the entire surface. The curve is nonconvergent for one abrasive per loop with quasilinear growth after 4000 loops.

Journal: Materials

Article Title: Surface Morphology Evolution during Chemical Mechanical Polishing Based on Microscale Material Removal Modeling for Monocrystalline Silicon

doi: 10.3390/ma15165641

Figure Lengend Snippet: RMS roughness evolution for 17,550 loops with Gaussian blur over the entire surface. The curve is nonconvergent for one abrasive per loop with quasilinear growth after 4000 loops.

Article Snippet: The MATLAB ‘fspecial’ and ‘imfilter’ command predefined a rotationally symmetric Gaussian image filter, in which the Gaussian function in 2D satisfies (16) y = a · e x p [ − x − b c 2 ] .

Techniques:

SiO 2 ASD test by DLS, with a Gaussian-type fitting mode (red solid line); peaks at 2.8 and 107.2 nm for the bimodal ASD curve.

Journal: Materials

Article Title: Surface Morphology Evolution during Chemical Mechanical Polishing Based on Microscale Material Removal Modeling for Monocrystalline Silicon

doi: 10.3390/ma15165641

Figure Lengend Snippet: SiO 2 ASD test by DLS, with a Gaussian-type fitting mode (red solid line); peaks at 2.8 and 107.2 nm for the bimodal ASD curve.

Article Snippet: The MATLAB ‘fspecial’ and ‘imfilter’ command predefined a rotationally symmetric Gaussian image filter, in which the Gaussian function in 2D satisfies (16) y = a · e x p [ − x − b c 2 ] .

Techniques: