scholarly journals Characterization of Fungal Morphology using Digital Image Analysis Techniques

Author(s):  
Maria Papagianni
1998 ◽  
Vol 120 (2) ◽  
pp. 97-101 ◽  
Author(s):  
M. Gopal ◽  
W. P. Jepson

This paper reports the application of novel, digital image analysis techniques in the study of slug flow characteristics, under dynamic conditions in two-phase gas-liquid mixtures. Water and an oil of viscosity 18 cP were used for the liquid phase and carbon dioxide was used for the gas phase. Flow in a 75-mm i.d., 10-m long acrylic pipeline system was studied. Images of slugs were recorded on video by S-VHS cameras, using an audio-visual mixer. Each image was then digitized frame-by-frame and analyzed on a SGI™ workstation. Detailed slug characteristics, including liquid film heights, slug translational velocity, mixing length, and, slug length, were obtained.


2013 ◽  
Author(s):  
Jonathan Swift

The Journal to Stella, Jonathan Swift's letters to Esther Johnson, or 'Stella', and Rebecca Dingley, written between September 1710 and June 1713, offers an extraordinary commentary on Swift's experiences in London during the most politically active and exciting years of his career and evidence of his evolving relationship with the two women. This edition seeks for the first time both to situate the letters alongside Swift's other works and to place them within their original political, historical and cultural contexts. It brings together a combination of printed work and manuscript to present the most complete and accessible text possible, enhanced by the use of the latest digital image analysis techniques to reinstate previously indecipherable material. In addition to a new critical introduction and appendices, there is also a biographical appendix derived from recently available resources.


2012 ◽  
Vol 503-504 ◽  
pp. 650-653
Author(s):  
Gui Chun He ◽  
Jin Ni Feng ◽  
Yi Peng Wu ◽  
Hua Mei Xiang ◽  
Mei Chao Qi

Froth images are pre-processed, which are acquired at the flotation laboratory. Digital image analysis techniques are used to analysize these froth images and their grey histogram and to extract statistical texture features of those froth images. Finally, the relation model for statistical texture features of those froth images and flotation index is established by RBF neural networks. A simulation showed that the relation model is higher precise


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