DocumentCode :
3336218
Title :
Restoration of scanning probe microscope images
Author :
Pingali, Gopal Sarma ; Jain, Ramesh
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
fYear :
1992
fDate :
30 Nov-2 Dec 1992
Firstpage :
282
Lastpage :
289
Abstract :
Scanning probe microscopy (SXM), which includes techniques such as scanning tunneling microscopy (STM) and scanning force microscopy (SFM), is becoming popular for 3D metrology in the semiconductor industry and for high resolution 3D imaging of surfaces in Materials Science and Biology. The authors present imaging models for SXM that take into account the effect of probe geometry on topographic images produced by SXM in `contact´ and `non-contact´ modes. The authors formulate methods for restoring an SXM image to obtain the original surface. Criteria for determining certainty of restoration are developed. It is shown that the methods developed can be expressed in terms of gray scale morphological operators. The efficacy of the approach is demonstrated by applying it to synthetic and real data
Keywords :
computerised instrumentation; image processing; scanning tunnelling microscopy; 3D metrology; SXM image; gray scale morphological operators; high resolution 3D imaging; image restoration; probe geometry; scanning force microscopy; scanning probe microscope images; scanning tunneling microscopy; semiconductor industry; topographic images; Electronics industry; High-resolution imaging; Image resolution; Image restoration; Materials science and technology; Metrology; Scanning probe microscopy; Surface morphology; Surface topography; Tunneling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, Proceedings, 1992., IEEE Workshop on
Conference_Location :
Palm Springs, CA
Print_ISBN :
0-8186-2840-5
Type :
conf
DOI :
10.1109/ACV.1992.240301
Filename :
240301
Link To Document :
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