caa a22 4500 467936838 CHVBK 20180406152959.0 cr unu---uuuuu 170328e20060801xx s 000 0 eng 10.1007/s00138-006-0021-7 doi (NATIONALLICENCE)springer-10.1007/s00138-006-0021-7 Computer Vision for Nanoscale Imaging [Elektronische Daten] [Eraldo Ribeiro, Mubarak Shah] The main goal of Nanotechnology is to analyze and understand the properties of matter at the atomic and molecular level. Computer vision is rapidly expanding into this new and exciting field of application, and considerable research efforts are currently being spent on developing new image-based characterization techniques to analyze nanoscale images. Nanoscale characterization requires algorithms to perform image analysis under extremely challenging conditions such as low signal-to-noise ratio and low resolution. To achieve this, nanotechnology researchers require imaging tools that are able to enhance images, detect objects and features, reconstruct 3D geometry, and tracking. This paper reviews current advances in computer vision and related areas applied to imaging nanoscale objects. We categorize the algorithms, describe their representative methods, and conclude with several promising directions of future investigation. Springer-Verlag, 2006 Ribeiro Eraldo Department of Computer Sciences, Florida Institute of Technology, 32901, Melbourne, USA aut Shah Mubarak Computer Vision Laboratory, School of Computer Science, University of Central Florida, 32826, Orlando, FL, USA aut Machine Vision and Applications Springer-Verlag 17/3(2006-08-01), 147-162 0932-8092 17:3<147 2006 17 138 https://doi.org/10.1007/s00138-006-0021-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00138-006-0021-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ribeiro Eraldo Department of Computer Sciences, Florida Institute of Technology, 32901, Melbourne, USA aut NATIONALLICENCE 700 1- Shah Mubarak Computer Vision Laboratory, School of Computer Science, University of Central Florida, 32826, Orlando, FL, USA aut NATIONALLICENCE 773 0- Machine Vision and Applications Springer-Verlag 17/3(2006-08-01), 147-162 0932-8092 17:3<147 2006 17 138 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer