2016
DOI: 10.1002/ceat.201500342
|View full text |Cite
|
Sign up to set email alerts
|

Automatic Fiber Thickness Measurement in Scanning Electron Microscopy Images Validated Using Synthetic Data

Abstract: Among the various properties of fibrous filter media, fiber thickness is one of the important characteristics which should be considered in design and quality assurance of filter media. Automatic analysis of images from scanning electron microscopy (SEM) is a suitable tool in that context. Yet, the accuracy of such image analysis tools cannot be judged based on images of real filter media since their true fiber thickness can never be known accurately. A solution is to employ synthetically generated models for … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
2
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 30 publications
(36 reference statements)
0
2
0
Order By: Relevance
“…To analyze the images with regard to automated fiber diameter distribution, the β software “MAVIfiber2d”, developed by Fraunhofer ITWM (Kaiserslautern, Germany), was used . First, the images are smoothed and binarized by the software, before a statistical analysis is performed over each fiber pixel without segmentation into individual fibers. , After merging the output of the three images, the mean and median fiber diameters as well as the standard deviation and interquartile range were determined.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To analyze the images with regard to automated fiber diameter distribution, the β software “MAVIfiber2d”, developed by Fraunhofer ITWM (Kaiserslautern, Germany), was used . First, the images are smoothed and binarized by the software, before a statistical analysis is performed over each fiber pixel without segmentation into individual fibers. , After merging the output of the three images, the mean and median fiber diameters as well as the standard deviation and interquartile range were determined.…”
Section: Methodsmentioning
confidence: 99%
“…40 First, the images are smoothed and binarized by the software, before a statistical analysis is performed over each fiber pixel without segmentation into individual fibers. 41,42 After merging the output of the three images, the mean and median fiber diameters as well as the standard deviation and interquartile range were determined. direction (CD) of the nonwovens, three samples 10 × 10 cm were taken in CD and averaged.…”
Section: Physical and Mechanicalmentioning
confidence: 99%
“…The magnification was chosen to catch around 40 single fibers, and contrast and illumination were adjusted to gain an image of straight monochromic fibers in front of a dark monochrome To analyze the images, the beta software “MAVIfiber2d“ of Fraunhofer ITWM (Kaiserslautern, Germany) was used [ 45 ]. First, the images were smoothed by an algorithm and binarized by the software before a statistical analysis was performed over each fiber pixel without segmentation into individual fibers [ 46 , 47 ]. After merging the output of the three images, the mean and median fiber diameters as well as the standard deviation and interquartile range were given out.…”
Section: Methodsmentioning
confidence: 99%
“…To analyze the images, the beta-software "MAVIfiber2d" of Fraunhofer ITWM (Kaiserslautern, Germany) was used [73]. First, the images were smoothed by an algorithm and binarized by the software before a statistical analysis was performed over each fiber pixel without segmentation into individual fibers [74,75]. After merging the output of the three images, the mean and median fiber diameter as well as the standard deviation and interquartile range were given out.…”
Section: Nonwoven Testingmentioning
confidence: 99%