Selective Guidance Normal Filter for Geometric Texture Removal

2020 ◽  
pp. 1-1
Author(s):  
Mingqiang Wei ◽  
Yidan Feng ◽  
Honghua Chen
Keyword(s):  
Normal Filter ◽  
Texture Removal

scholarly journals Image smoothing based on global sparsity decomposition and a variable parameter

2021 ◽  
Author(s):  
Xiang Ma ◽  
Xuemei Li ◽  
Yuanfeng Zhou ◽  
Caiming Zhang
Keyword(s):  
Removal Rate ◽  
Variable Parameter ◽  
Smoothing Parameter ◽  
Smoothing Effect ◽  
Image Smoothing ◽  
Sparse Decomposition ◽  
Alternating Direction ◽  
Texture Removal ◽  
Ideal Algorithm ◽  
Better Than

AbstractSmoothing images, especially with rich texture, is an important problem in computer vision. Obtaining an ideal result is difficult due to complexity, irregularity, and anisotropicity of the texture. Besides, some properties are shared by the texture and the structure in an image. It is a hard compromise to retain structure and simultaneously remove texture. To create an ideal algorithm for image smoothing, we face three problems. For images with rich textures, the smoothing effect should be enhanced. We should overcome inconsistency of smoothing results in different parts of the image. It is necessary to create a method to evaluate the smoothing effect. We apply texture pre-removal based on global sparse decomposition with a variable smoothing parameter to solve the first two problems. A parametric surface constructed by an improved Bessel method is used to determine the smoothing parameter. Three evaluation measures: edge integrity rate, texture removal rate, and gradient value distribution are proposed to cope with the third problem. We use the alternating direction method of multipliers to complete the whole algorithm and obtain the results. Experiments show that our algorithm is better than existing algorithms both visually and quantitatively. We also demonstrate our method’s ability in other applications such as clip-art compression artifact removal and content-aware image manipulation.

The practical implementation of DIN EN ISO 16891 “Test methods for evaluating the degradation of characteristics of cleanable filter media“/Die praktische Umsetzung der Norm DIN EN ISO 16891 „Prüfmethode zur Ermittlung der Abnahme der Wirksamkeit von abreinigbaren Filtermedien“

Gefahrstoffe ◽  
2019 ◽  
Vol 79 (05) ◽  
pp. 176-180
Author(s):  
F. Schmidt ◽  
J. Weimann ◽  
C. König
Keyword(s):  
Test Methods ◽  
Practical Implementation ◽  
Filter Media ◽  
Uniform Loading ◽  
Normal Filter ◽  
Current Form ◽  
Safety Aspects ◽  
Test Conditions ◽  
Chemical Ageing ◽  
Praktische Umsetzung

Summary DIN EN ISO 16891:2016 “Test methods for evaluating the degradation of characteristics of cleanable filter media“ is the first standard in Germany that takes into account the thermal and chemical ageing of the filter media and stipulates how they are to be tested. These normative specifications were to be implemented as part of a research project. However, the boundary test conditions proved to be general conditions and many other details were not described in the standard. This is why, as well as there being many safety aspects, the filter testing has so far only been partially implemented. Uniform loading of several samples at the normal filter flow velocities used in practice could not be implemented. Doubt exists with regard to the comparability of the results of the tests that were based on the standard in its current form at different test institutes.

scholarly journals Consequences of Choosing Different Settings When Processing Hip-Based Accelerometry Data From Older Adults: A Practical Approach Using Baseline Data From the SITLESS Study

2020 ◽  
Vol 3 (2) ◽  
pp. 89-99 ◽  
Author(s):  
Jason J. Wilson ◽  
Mathias Skjødt ◽  
Ilona McMullan ◽  
Nicole E. Blackburn ◽  
Maria Giné-Garriga ◽  
...  
Keyword(s):  
Older Adults ◽  
Repeated Measures ◽  
Low Frequency ◽  
Vertical Axis ◽  
Time Algorithm ◽  
Normal Filter ◽  
Wear Time ◽  
Epoch Length ◽  
Vector Magnitude ◽  
Selection Of

Accurately measuring older adults’ physical activity (PA) and sedentary behavior (SB) using accelerometers is essential, as both are important markers of health. This study aimed to highlight how steps taken during data processing may affect key hip-based accelerometry outcomes in older adults, using a selection of baseline accelerometry data (n = 658) from the SITLESS study. Different analytical parameters tested included wear-time algorithms, use of low-frequency extension (LFE) filter, epoch length, and minimum and maximum daily wear-time thresholds. These were compared against vertical axis counts per minute (CPM), vector magnitude (VM) CPM, SB, light PA, moderate-to-vigorous PA, step counts, and wear-time percentage. Differences in settings across the analytical parameters were assessed using paired sample t-tests and repeated measures ANOVAs using Bonferroni correction. Using the “Choi” versus “Troiano” wear-time algorithm resulted in a higher percentage wear-time. Most SB and PA outcomes were significantly different across wear-time algorithms (p < .001). This was similar when using the LFE filter versus normal filter (p < .001). Using 10-second epoch length increased daily SB time (between +75.7 and +79.2 minutes) compared to 60-second. Most SB and PA outcomes significantly changed comparing minimum-wear-time thresholds of 360, 480, 600, and 720 minutes per day (p < .001). Applying a log-diary with a ≥1140-minute threshold had a significant impact on vertical axis CPM, VM CPM, SB, and light PA outcomes (p < .001). This study demonstrates the potential variability in the number of participants being included in studies and reported SB and PA levels when processing older adults’ accelerometry data dependent on the analytical procedures utilized.

Reliable Rolling‐guided Point Normal Filtering for Surface Texture Removal

2019 ◽  
Vol 38 (7) ◽  
pp. 721-732 ◽  
Author(s):  
Y. Sun ◽  
H. Chen ◽  
J. Qin ◽  
H. Li ◽  
M. Wei ◽  
...  
Keyword(s):  
Surface Texture ◽  
Texture Removal

scholarly journals Comparison of older and newer generations of ActiGraph accelerometers with the normal filter and the low frequency extension

2013 ◽  
Vol 10 (1) ◽  
pp. 51 ◽  
Author(s):  
Kelli L Cain ◽  
Terry L Conway ◽  
Marc A Adams ◽  
Lisa E Husak ◽  
James F Sallis
Keyword(s):  
Low Frequency ◽  
Normal Filter

scholarly journals Sources of variation of Escherichia coli concentrations in bivalve molluscs

2012 ◽  
Vol 11 (1) ◽  
pp. 78-83 ◽  
Author(s):  
R. J. Lee ◽  
R. Silk
Keyword(s):  
Escherichia Coli ◽  
Feeding Activity ◽  
Most Probable Number ◽  
Sampling Occasion ◽  
The European Union ◽  
Bivalve Molluscs ◽  
Normal Filter ◽  
Probable Number ◽  
E Coli ◽  
Production Areas

Bivalve molluscs can concentrate contaminants, including pathogenic microorganisms, from the water column during their normal filter-feeding activity. In the European Union, the risk of human and animal faecal contamination in bivalves is estimated by determining the concentration of Escherichia coli in time-series samples from production areas. A structured field study was undertaken to determine the extent to which such concentrations varied between sites, sampling occasions and shellfish species and to determine the residual variability of the method. E. coli was enumerated in three species of bivalve mollusc (Crassostrea gigas, Mytilus spp. and Pecten maximus) co-located in each of three geographically separate commercial shellfisheries. The data were subjected to analysis of variance (ANOVA). This showed that the effects of site, sampling occasion, species and site/sampling occasion interaction were all significant. The proportion of variation due to site was markedly greater than that due to other factors. Post-ANOVA analysis showed that the concentration of E. coli in P. maximus was significantly higher than in the other two species. Mytilus spp. and C. gigas exhibited comparable levels of E. coli. The observed standard deviation of the most probable number method in the study was 0.33 log10.

Positive ∑ operations on ordinals and normal filters on greatly mahlo cardinals

1989 ◽  
Vol 54 (1) ◽  
pp. 226-233
Author(s):  
Thomas Jech
Keyword(s):  
Normal Filter ◽  
Uncountable Cardinal ◽  
Mahlo Cardinals ◽  
Ordinal Function

If ℱ is a normal filter on a regular uncountable cardinal κ, let ║f║ be the ℱ-norm of an ordinal function f. We introduce the class of positive ordinal operations and prove that if F is a positive operation then ║F(f)║ ≥ F(║f║). For each η < κ+ let fη be the canonical ηth function. We show that if F is a ∑ operation then F(fη) = fF(η).As an application we show that if κ is greatly Mahlo then there are normal filters on κ of order greater than κ+.

Sign in / Sign up

Export Citation Format

Share Document