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Grains segmentation on uranium dioxide thin section images

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Title: Grains segmentation on uranium dioxide thin section images

Authors: Dmitry Potapov, Alexey Modyaev, Natalia Leonova

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 11

Language: English

Categories
Grains (3) Uranium Dioxide (1) Image Analysis (67) Microscopy (82) Materials Science (8025)

Abstract

A technique of computer grains segmentation on uranium dioxide thin section images is described. An algorithm of image preprocessing is developed, allowing to achieve more accurate results in grains boundary detection when using the watersheds marker method. The usage of grey-level morphological operations instead of binary results in information losses reduction on image processing. The developed algorithm can be used for quality control processes automation in metallurgy industrial organizations.

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