gaussian filter Search Results


90
Carl Zeiss gaussian filter
Gaussian Filter, supplied by Carl Zeiss, 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/result/gaussian filter/product/Carl Zeiss
Average 90 stars, based on 1 article reviews
gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
SCANCO USA INC constrained 3d gaussian low pass filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Constrained 3d Gaussian Low Pass Filter, supplied by SCANCO USA 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/result/constrained 3d gaussian low pass filter/product/SCANCO USA INC
Average 90 stars, based on 1 article reviews
constrained 3d gaussian low pass filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Verlag GmbH gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filter, supplied by Verlag GmbH, 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/result/gaussian filter/product/Verlag GmbH
Average 90 stars, based on 1 article reviews
gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Visual Numerics Inc 3-dimensional gaussian filter 8-mm full width at half maximum
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
3 Dimensional Gaussian Filter 8 Mm Full Width At Half Maximum, supplied by Visual Numerics 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/result/3-dimensional gaussian filter 8-mm full width at half maximum/product/Visual Numerics Inc
Average 90 stars, based on 1 article reviews
3-dimensional gaussian filter 8-mm full width at half maximum - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Akatsuki Technology high-pass gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
High Pass Gaussian Filter, supplied by Akatsuki Technology, 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/result/high-pass gaussian filter/product/Akatsuki Technology
Average 90 stars, based on 1 article reviews
high-pass gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
synaptosoft inc digital gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Digital Gaussian Filter, supplied by synaptosoft 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/result/digital gaussian filter/product/synaptosoft inc
Average 90 stars, based on 1 article reviews
digital gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Siemens AG gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Gaussian Filter, supplied by Siemens AG, 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/result/gaussian filter/product/Siemens AG
Average 90 stars, based on 1 article reviews
gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Verlag GmbH bilateral gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Bilateral Gaussian Filter, supplied by Verlag GmbH, 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/result/bilateral gaussian filter/product/Verlag GmbH
Average 90 stars, based on 1 article reviews
bilateral gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Optics and Photonics spatial frequency domain gaussian filter widths
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Spatial Frequency Domain Gaussian Filter Widths, supplied by Optics and Photonics, 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/result/spatial frequency domain gaussian filter widths/product/Optics and Photonics
Average 90 stars, based on 1 article reviews
spatial frequency domain gaussian filter widths - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Horien International Co Ltd low-pass gaussian filter
Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification <t>3D</t> coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the <t>Gaussian</t> fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.
Low Pass Gaussian Filter, supplied by Horien International Co Ltd, 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/result/low-pass gaussian filter/product/Horien International Co Ltd
Average 90 stars, based on 1 article reviews
low-pass gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
Digital Surf gaussian regression filter
Model description.
Gaussian Regression Filter, supplied by Digital Surf, 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/result/gaussian regression filter/product/Digital Surf
Average 90 stars, based on 1 article reviews
gaussian regression filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

90
wavemetrics inc 3 pixel gaussian filter
Model description.
3 Pixel Gaussian Filter, supplied by wavemetrics 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/result/3 pixel gaussian filter/product/wavemetrics inc
Average 90 stars, based on 1 article reviews
3 pixel gaussian filter - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Journal: bioRxiv

Article Title: Large-scale quantification of human osteocyte lacunar morphological biomarkers as assessed by ultra-high-resolution desktop micro-computed tomography

doi: 10.1101/2021.01.05.425223

Figure Lengend Snippet: Individualized threshold selection. A) Iterative application of many single thresholds and each compared with the manual identification 3D coordinates of a given image subregion. Optimum threshold was defined as the single threshold that maximized the true positive rate and minimized the false detection rate. B) Typical TMD histogram of the bone biopsy’s micro-CT image. Optimum threshold (green) determined from (A) and the distribution characteristics including the critical point (g’) and curve width (2sigma) were calculated from the Gaussian fit of the data. C) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding critical point (g’) from each respective TMD histogram. D) Correlation between the optimum threshold for each of the five manually segmented subregions and the corresponding distribution width (2sigma) from each respective TMD histogram.

Article Snippet: Preprocessing of each image consisted of a constrained 3D Gaussian low pass filter (σ=0.8, support =1) to reduce noise and was applied using IPL (Scanco Medical AG, Brüttisellen, Switzerland).

Techniques: Selection, Micro-CT

Model description.

Journal: Materials

Article Title: Evaluation of High-Frequency Measurement Errors from Turned Surface Topography Data Using Machine Learning Methods

doi: 10.3390/ma17071456

Figure Lengend Snippet: Model description.

Article Snippet: For the analyses of the roughness, the following areal digital filters from the TalyMap Gold version 6.1 software, copyright by Digital Surf, were employed to obtain the ISO 25178 texture parameters: Gaussian regression filter (GRF), robust Gaussian regression filter (RGRF), and isotropic spline filter (SF).

Techniques: Filtration