Characterization of a flexible self-cleaning film with photoinduced hydrophilicity comprising phosphonic-acid-modified polysilsesquioxane-anchored titanium dioxide

2020 ◽  
Vol 714 ◽  
pp. 138395
Author(s):  
Wataru Nakamoto ◽  
Ryohei Hayami ◽  
Shun Aizawa ◽  
Yuta Miyase ◽  
Shintaro Fujii ◽  
...  
Nanomaterials ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 968
Author(s):  
Paul Monchot ◽  
Loïc Coquelin ◽  
Khaled Guerroudj ◽  
Nicolas Feltin ◽  
Alexandra Delvallée ◽  
...  

The size characterization of particles present in the form of agglomerates in images measured by scanning electron microscopy (SEM) requires a powerful image segmentation tool in order to properly define the boundaries of each particle. In this work, we propose to use an algorithm from the deep statistical learning community, the Mask-RCNN, coupled with transfer learning to overcome the problem of generalization of the commonly used image processing methods such as watershed or active contour. Indeed, the adjustment of the parameters of these algorithms is almost systematically necessary and slows down the automation of the processing chain. The Mask-RCNN is adapted here to the case study and we present results obtained on titanium dioxide samples (non-spherical particles) with a level of performance evaluated by different metrics such as the DICE coefficient, which reaches an average value of 0.95 on the test images.


Author(s):  
Hansaraj Dikkar ◽  
Varad Kapre ◽  
Amey Diwan ◽  
S.K. Sekar

2014 ◽  
Vol 15 (8) ◽  
pp. 593-605 ◽  
Author(s):  
Zhuan-xi Luo ◽  
Zhen-hong Wang ◽  
Bin Xu ◽  
Ionnis L. Sarakiotis ◽  
Gijs Du Laing ◽  
...  

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