Evaluation of the polybutadiene content in some high-impact copolymers by transmission electron microscopy and digital image processing

1991 ◽  
Vol 12 (3) ◽  
pp. 199-202 ◽  
Author(s):  
Victor M. Castaño ◽  
Rodrigo Velázquez ◽  
Rogelio Rodríguez ◽  
Victor M. Monroy
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Impact ◽  
Transmission Electron

Digital image processing for high resolution electron microscopy

1988 ◽  
Vol 107 (2) ◽  
pp. 521-530 ◽  
Author(s):  
W. Coene ◽  
A. F. de Jong ◽  
D. van Dyck ◽  
G. van Tendeloo ◽  
J. van Landuyt
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
High Resolution ◽  
Digital Image Processing ◽  
Digital Image ◽  
High Resolution Electron Microscopy ◽  
Resolution Electron

scholarly journals Quantitative Crystallographic and Statistical Image Processing for Materials Science in Scanning Transmission Electron Microscopy

2013 ◽  
Vol 19 (S2) ◽  
pp. 772-773
Author(s):  
Q.M. Ramasse ◽  
M.C. Sarahan ◽  
D.G. Morgan ◽  
N.D. Browning
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Scanning Transmission Electron Microscopy ◽  
Materials Science ◽  
Scanning Transmission Electron ◽  
Transmission Electron ◽  
Scanning Transmission

Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.

Morphological Analysis of Particles in Transmission Electron Microscopy Image Using Image Processing

2013 ◽  
Vol 774-776 ◽  
pp. 1262-1266
Author(s):  
Manop Phankokkruad ◽  
Wacharawichanant Sirirat
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Morphological Analysis ◽  
Transmission Electron Microscopy Image ◽  
Processing Method ◽  
New Materials ◽  
Manual Method ◽  
Transmission Electron ◽  
Microscopy Image

The analysis of material particles in the transmission electron microscopy (TEM) image is the most important in the development and synthesis of the new materials for application in many fields. Manual identification is the hard work, spent a lot of time and inaccurate method. To solve this problem, the image processing is proposed for automatically identifies the material particles boundary and size in TEM images in or order to extract the useful data. The image processing method has been experimented on variety of TEM images and very promising results have been achieved given more accuracy. Experimental results show that the proposed method gave the high adaptability, more accurate and rapidly than the manual method.

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