Visualization and processing of images in nano-resolution

The paper aims to apply the methods of image processing which are widely used in Earth remote sensing for processing and visualization of images in nano-resolution because most of these images are currently analyzed only by an expert researcher without proper statistical background. Nano-resolution level may range from a resolution in picometres to the resolution of a light microscope that may be up to about 200 nanometers. Images in nano-resolution play an essential role in physics, medicine, and chemistry. Three case studies demonstrate different image visualization and image analysis approaches for different scales at the nano-resolution level. The results of case studies prove the suitability and applicability of Earth remote sensing methods for image visualization and processing for the nanoresolution level. It even opens new dimensions for spatial analysis at such an extreme spatial detail.

[1]  Jane Watson,et al.  Visual processing during mathematical problem solving , 1995 .

[2]  E. Fennema,et al.  Sex-Related Differences in Mathematics Achievement, Spatial Visualization and Affective Factors , 1977 .

[3]  N. Browning,et al.  Structure of catalyst particles from in-situ electron microscopy: a web themed issue. , 2014, Chemical Communications.

[4]  Michael Friendly,et al.  Milestones in the history of thematic cartography, statistica l graphics, and data visualization , 2008 .

[5]  Chethan K. Gaddam,et al.  Quantification of nano-scale carbon structure by HRTEM and lattice fringe analysis , 2016, Pattern Recognit. Lett..

[6]  Glen Lean,et al.  Spatial ability, visual imagery, and mathematical performance , 1981 .

[7]  Václav Snásel,et al.  Map Similarity Testing Using Matrix Decomposition , 2009, 2009 International Conference on Intelligent Networking and Collaborative Systems.

[8]  Vit Vozenilek,et al.  Detection and clustering of features in aerial images by neuron network-based algorithm , 2015, International Conference on Graphic and Image Processing.

[9]  An Investigation of Spatial-Geometrical Understanding in Students with Learning Disabilities , 2000 .

[10]  M. Battista.  Spatial Visualization and Gender Differences in High School Geometry. , 1990 .

[11]  Norma C. Presmeg,et al.  Visualisation in High School Mathematics. , 1986 .

[12]  Norma C. Presmeg,et al.  Visualisation and mathematical giftedness , 1986 .

[13]  K. Owens,et al.  Representations in Spatial Problem Solving in the Classroom , 1998 .

[14]  V. Voženílek,et al.  Relief for Models of Natural Phenomena , 2010 .

[15]  Liu Tao,et al.  Analysis of electromagnetic focusing properties of multi-annular nanostructured metasurfaces , 2016 .

[16]  Michel Denis,et al.  Imagery and Thinking , 1991 .