Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ali Moghiseh"'
Publikováno v:
Image Analysis and Stereology, Vol 43, Iss 1 (2024)
Elongated anisotropic Gaussian filters are used for the orientation estimation of fibers. In cases where computed tomography images are noisy, roughly resolved, and of low contrast, they are the method of choice even if being efficient only in virtua
Externí odkaz:
https://doaj.org/article/75fd8d144d184a9181b0a685e3c86b46
Publikováno v:
Journal of Mathematics in Industry, Vol 12, Iss 1, Pp 1-24 (2022)
Abstract Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a cloudiness index based on image data is a common task in industrial quality assurance. The two most p
Externí odkaz:
https://doaj.org/article/57cbbbfe1ca940b08123f8df1f6b819f
Publikováno v:
Image Analysis and Stereology, Vol 37, Iss 2, Pp 139-144 (2018)
Measuring the growth of spherulites in semi-crystalline thermoplastics helps to control and optimize industrial manufacturing processes of these materials. The growth can be observed in cross polarized images, taken at several time steps. The diamete
Externí odkaz:
https://doaj.org/article/531ecc7672524a3fa4b5f7711b3ecac5
CHARACTERIZATION OF THE FORMATION OF FILTER PAPER USING THE BARTLETT SPECTRUM OF THE FIBER STRUCTURE
Publikováno v:
Image Analysis and Stereology, Vol 32, Iss 2, Pp 77-87 (2013)
The formation index of filter paper is one of the most important characteristics used in industrial quality control. Its estimation is often based on subjective comparison chart rating or, even more objective, on the power spectrum of the paper struc
Externí odkaz:
https://doaj.org/article/61c9bc5270ef46328789672d7818cec3
Publikováno v:
Image Analysis and Stereology, Vol 32, Iss 1, Pp 45-55 (2013)
A new method is presented for estimating the specific fiber length from 3D images of macroscopically homogeneous fiber systems. The method is based on a discrete version of the Crofton formula, where local knowledge from 3x3x3-pixel configurations of
Externí odkaz:
https://doaj.org/article/b444e1b0c45c4879affdcde05a77802f
The size and number of images and the amount of data we process every day have grown rapidly over the last years. Quantum computers promise to process this data more efficiently since classical images can be stored in quantum states. Experiments on q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea694b8421b1ab3ab7a858e7e5429f6f
https://publica.fraunhofer.de/handle/publica/444987
https://publica.fraunhofer.de/handle/publica/444987
Using deep learning in complex online surface inspection systems is challenging due to different framework conditions. First, time restrictions in production are usually fixed in terms of clock rate and response time. Furthermore, these methods need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88973e5d763e9977d34088b84596027b
https://publica.fraunhofer.de/handle/publica/445637
https://publica.fraunhofer.de/handle/publica/445637
Publikováno v:
Quantum Machine Intelligence. 4
Edges are image locations where the gray value intensity changes suddenly. They are among the most important features to understand and segment an image. Edge detection is a standard task in digital image processing, solved for example using filterin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8504bb013dc594ddb160bf365e1c0f5
https://doi.org/10.1007/s42484-022-00071-3
https://doi.org/10.1007/s42484-022-00071-3
Publikováno v:
Journal of Microscopy. 281:16-27
Combining scanning electron microscopy with serial slicing by a focused ion beam yields spatial image data of materials structures at the nanometer scale. However, the depth of field of the scanning electron microscopic images causes unwanted effects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d305c2646646f23fdeb0e1e6ad3841bb
https://doi.org/10.1111/jmi.12944
https://doi.org/10.1111/jmi.12944
In image processing, the amount of data to be processed grows rapidly, in particular when imaging methods yield images of more than two dimensions or time series of images. Thus, efficient processing is a challenge, as data sizes may push even superc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff70217df523215f8bd44000f372740d
http://arxiv.org/abs/2110.15672
http://arxiv.org/abs/2110.15672