Results 11 to 20 of about 1,075,372 (346)

Teachers’ Reactions to Educational Television Programs during the Pandemic and Their Implied Images of Mathematics Teaching

open access: yesEducation Sciences, 2023
In this paper, we discuss the images of mathematics and its teaching, as expressed by mathematics teachers, in reaction to educational programs broadcasted by Polish public television channels during the first lockdown in 2020.
Konstantinos Tatsis, Bożena Maj-Tatsis
doaj   +1 more source

Special Issue – Mathematical Imaging [PDF]

open access: yesJournal of Algorithms & Computational Technology, 2016
The multidisciplinary subject of Imaging Science concerning the generation, collection, duplication, analysis, modification, restoration, enhancement, comparison, feature extraction, and visualisation of images is developing in a rapid speed.
Chen, Ke, Lai, Choi Hong
openaire   +7 more sources

An unambiguous cloudiness index for nonwovens

open access: yesJournal of Mathematics in Industry, 2022
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.
Michael Godehardt   +4 more
doaj   +1 more source

Impulsive Noise Removal with an Adaptive Weighted Arithmetic Mean Operator for Any Noise Density

open access: yesApplied Sciences, 2021
Many computer vision algorithms which are not robust to noise incorporate a noise removal stage in their workflow to avoid distortions in the final result. In the last decade, many filters for salt-and-pepper noise removal have been proposed.
Manuel González-Hidalgo   +3 more
doaj   +1 more source

Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning

open access: yesIEEE Access, 2021
Melanoma and non-melanoma skin cancers have shown a rapidly increasing incidence rate, pointing to skin cancer as a major problem for public health. When analyzing these lesions in dermoscopic images, the hairs and their shadows on the skin may occlude ...
Lidia Talavera-Martinez   +2 more
doaj   +1 more source

IMAGE SHARPENING WITH BLUR MAP ESTIMATION USING CONVOLUTIONAL NEURAL NETWORK [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
We propose a method for choosing optimal values of the parameters of image sharpening algorithm for out-of-focus blur based on grid warping approach. The idea of the considered sharpening algorithm is to move pixels from the edge neighborhood towards the
A. Nasonov, A. Krylov, D. Lyukov
doaj   +1 more source

Study of Two Families of Generalized Yager’s Implications for Describing the Structure of Generalized (h,e)-Implications

open access: yesMathematics, 2021
In this study, we analyze the family of generalized (h,e)-implications. We determine when this family fulfills some of the main additional properties of fuzzy implication functions and we obtain a representation theorem that describes the structure of a ...
Raquel Fernandez-Peralta   +2 more
doaj   +1 more source

Mathematics in Biomedical Imaging [PDF]

open access: yesInternational Journal of Biomedical Imaging, 2007
L'imagerie biomédicale est d'une importance cruciale pour les sciences de la vie et les soins de santé. Dans ce domaine en rapide évolution, les mathématiques sont l'un des outils les plus puissants pour développer la reconstruction d'images ainsi que la théorie et les méthodes de traitement d'images.
Ming Jiang   +6 more
openaire   +4 more sources

Mathematical Methods for Medical Imaging [PDF]

open access: yesInternational Journal of Computer Vision, 2013
Computational anatomy is an emergingdiscipline at the interface of geometry, statistics and image analysis which aims at modeling and analyzing the biological shape of tissues and organs. The goal is to estimate representative organ anatomies across diseases, populations, species or ages, to model the organ development across time (growth or aging), to
Pennec, Xavier   +2 more
openaire   +4 more sources

The set of all the possible compromises of a multi-level multi-objective linear programming problem

open access: yesCroatian Operational Research Review, 2022
In this paper, a new approach is developed to solve multi-level multi-objective linear programming problems (ML-MOLPP), by providing the set of all the compromises without taking into account the hierarchy of the problem.
Mustapha Kaci, Sonia Radjef
doaj   +1 more source

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