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.
Reference:
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
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
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
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 .
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.
ResearchSpace
