scholarly journals Automatic contrast adjustment for detail recognition in SEM images using on-line digital image processing

Scanning ◽  
1992 ◽  
Vol 14 (6) ◽  
pp. 335-344 ◽  
Author(s):  
Eisaku Oho
1994 ◽  
Vol 7 (9) ◽  
pp. 1149-1164 ◽  
Author(s):  
D.W. Moolman ◽  
C. Aldrich ◽  
J.S.J. Van Deventer ◽  
W.W. Stange

Author(s):  
Michael E. Rosenfeld

The widespread use of digital image processing systems for high resolution morphometric applications has been limited by the cost and difficulty of interfacing systems to electron microscopes. The recent development of image acquisition boards and software for PC-AT based systems and the availability of scanning electron microscopes that are capable of scanning at true TV rates (RS-170 compatible signals), have alleviated these problems. We have assembled a system consisting of a Compaq Portable 286 (Compaq Computer Corp. Houston, TX) equipped with an FG-100 image acquisition board (Imaging Technology Inc. Woburn, MA), interfaced with a Philips 515 SEM containing a motorized stage and Edax stage controller (Philips Electronics Inc. Mahwah, NJ).Utilizing commercially available software, this system has extensive image processing and morphometric analysis capabilities. For example, because TV scan rates generate images with low signal to noise ratios, improvement of the image quality is possible via real time image averaging and background subtraction using the the FG-100 board Feedback/Input lookup table.


2016 ◽  
Vol 63 ◽  
pp. 04030
Author(s):  
Qingqun Mai ◽  
Yanming Quan ◽  
Peijie Liu ◽  
Guo Ding

Author(s):  
R. C. Gonzalez

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.


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