Title
Adaptive Threshold Processing Of Secondary Electron Images In Scanning Electron Microscope
Abstract
Observing the sample under a scanning electron microscope (SEM) requires adjustment of brightness and contrast to obtain a clear image. The traditional method is manually adjusted by the operator, which inevitably has errors. In this paper, an adaptive threshold processing method based on image-based normalized gray histogram is proposed. This method can acquire the threshold of the image according to the state of the currently obtained secondary electron images. When the brightness and contrast of the image change, the threshold can also be changed accordingly. It is concluded from a large number of tests that when the secondary electron image gray histogram has obvious double peaks and is located in the trough, the threshold obtained is optimal. Therefore, it is possible to better observe the pictures under the SEM.
Year
DOI
Venue
2019
10.1007/978-3-030-27526-6_15
INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT I
Keywords
DocType
Volume
SEM, Secondary electron images, Adaptive threshold, Gray histogram, Binarization
Conference
11740
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Weiguo Bian100.34
Mingyu Wang213524.90
Zhan Yang32416.44