scholarly journals Agriculture General Applications: A Study of Digital Imaging Processing

2021 ◽  
Vol 03 (05) ◽  
pp. 16-24
Author(s):  
G. Ramachandran ◽  
S. kannan
Keyword(s):  
Digital Imaging ◽  
Imaging Processing ◽  
Digital Imaging Processing

Digital Imaging Processing and Reconstruction for General Applications

2020 ◽  
Author(s):  
Nicolae Luca Iacobici ◽  
Mihaela Frigura-Iliasa ◽  
Hannelore Elfride Filipescu ◽  
Madlena Nen ◽  
Flaviu Mihai Frigura-Iliasa ◽  
...  
Keyword(s):  
Digital Imaging ◽  
Imaging Processing ◽  
Digital Imaging Processing

Strain Measurements of Silicon Dioxide Microspecimens by Digital Imaging Processing

2007 ◽  
Vol 47 (5) ◽  
pp. 649-658 ◽  
Author(s):  
W. N. Sharpe ◽  
J. Pulskamp ◽  
D. S. Gianola ◽  
C. Eberl ◽  
R. G. Polcawich ◽  
...  
Keyword(s):  
Silicon Dioxide ◽  
Digital Imaging ◽  
Imaging Processing ◽  
Strain Measurements ◽  
Digital Imaging Processing

Generational Technology of Computational Grid in Porous Media Based on Digital Image

2012 ◽  
Vol 524-527 ◽  
pp. 1429-1434
Author(s):  
Jian Jun Liu ◽  
Wan Lin Chen
Keyword(s):  
Porous Media ◽  
Digital Imaging ◽  
Geometric Model ◽  
Computational Grid ◽  
Comsol Multiphysics ◽  
Element Analysis ◽  
Imaging Processing ◽  
Geometry Model ◽  
Microscopical Image ◽  
Digital Imaging Processing

Based on digital imaging processing technology, a generational method of computational grid of porous media is developed for numerical simulation. Transformation of original microscopical image from grayscale into binary one and vector-graph are used for reconstructing a geometric model of porous media. Computational grid of porous media geometry model by COMSOL Multiphysics software can provide an effective way for the latter finite element analysis of porous media.

Digital imaging processing for biophysical applications

2004 ◽  
Vol 75 (9) ◽  
pp. 2822-2827 ◽  
Author(s):  
Jörg Schilling ◽  
Erich Sackmann ◽  
Andreas R. Bausch
Keyword(s):  
Digital Imaging ◽  
Imaging Processing ◽  
Digital Imaging Processing

Evaluation of Nano-ZnO Dispersed State in Bitumen with Digital Imaging Processing Techniques

2017 ◽  
Vol 46 (3) ◽  
pp. 20160401 ◽  
Author(s):  
R. Li ◽  
Y. Dai ◽  
P. Wang ◽  
C. Sun ◽  
J. Zhang ◽  
...  
Keyword(s):  
Digital Imaging ◽  
Nano Zno ◽  
Imaging Processing ◽  
Processing Techniques ◽  
Digital Imaging Processing
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