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Image processing towards the automated identification of nanoparticles in SEM images

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dc.contributor.author Botha, Gerda N
dc.contributor.author Wessels, Gert JC
dc.contributor.author Botha, Natasha
dc.contributor.author Van Eden, Beatrice
dc.date.accessioned 2019-10-17T09:29:09Z
dc.date.available 2019-10-17T09:29:09Z
dc.date.issued 2019-01
dc.identifier.citation Botha, G.N. et al. 2019. Image processing towards the automated identification of nanoparticles in SEM images. 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA), Bloemfontein, South Africa, 28-30 January 2019 en_US
dc.identifier.isbn 978-1-7281-0369-3
dc.identifier.isbn 978-1-7281-0368-6
dc.identifier.uri DOI: 10.1109/RoboMech.2019.8704799
dc.identifier.uri https://ieeexplore.ieee.org/document/8704799
dc.identifier.uri http://hdl.handle.net/10204/11179
dc.description Copyright: 2019 IEEE. This is the accepted version of the published paper. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en_US
dc.description.abstract SEM images are crucial in the characterisation of material properties. These images can be very hard to interpret without any prior knowledge of the material. This paper discusses a pre-processing method for assisting convolutional Neural Networks in identifying the presence of nanoparticles in composite SEM images. The pre-processing method is developed using a synthetic SEM image. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Worklist;22789
dc.subject Composite materials en_US
dc.subject Image processing en_US
dc.subject LULU smoothing en_US
dc.subject Scanning electron microscopy en_US
dc.title Image processing towards the automated identification of nanoparticles in SEM images en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Botha, G. N., Wessels, G. J., Botha, N., & Van Eden, B. (2019). Image processing towards the automated identification of nanoparticles in SEM images. IEEE. http://hdl.handle.net/10204/11179 en_ZA
dc.identifier.chicagocitation Botha, Gerda N, Gert JC Wessels, Natasha Botha, and Beatrice Van Eden. "Image processing towards the automated identification of nanoparticles in SEM images." (2019): http://hdl.handle.net/10204/11179 en_ZA
dc.identifier.vancouvercitation Botha GN, Wessels GJ, Botha N, Van Eden B, Image processing towards the automated identification of nanoparticles in SEM images; IEEE; 2019. http://hdl.handle.net/10204/11179 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Botha, Gerda N AU - Wessels, Gert JC AU - Botha, Natasha AU - Van Eden, Beatrice AB - SEM images are crucial in the characterisation of material properties. These images can be very hard to interpret without any prior knowledge of the material. This paper discusses a pre-processing method for assisting convolutional Neural Networks in identifying the presence of nanoparticles in composite SEM images. The pre-processing method is developed using a synthetic SEM image. DA - 2019-01 DB - ResearchSpace DP - CSIR KW - Composite materials KW - Image processing KW - LULU smoothing KW - Scanning electron microscopy LK - https://researchspace.csir.co.za PY - 2019 SM - 978-1-7281-0369-3 SM - 978-1-7281-0368-6 T1 - Image processing towards the automated identification of nanoparticles in SEM images TI - Image processing towards the automated identification of nanoparticles in SEM images UR - http://hdl.handle.net/10204/11179 ER - en_ZA


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