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