Non‐destructive video image analysis method for measuring growth in sponge farming: Preliminary results from the New Zealand bath‐spongeSpongia(Heterofibria)manipulatus

2003 ◽  
Vol 37 (3) ◽  
pp. 613-621 ◽  
Author(s):  
Sean Handley ◽  
Shane Kelly ◽  
Michelle Kelly
Keyword(s):  
Image Analysis ◽  
New Zealand ◽  
Video Image ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Preliminary Results ◽  
Video Image Analysis ◽  
Non Destructive

scholarly journals The ultrasonic and image analysis method for non-destructive quantification of the thermal shock damage in refractory specimens

2009 ◽  
Vol 30 (8) ◽  
pp. 3338-3343 ◽  
Author(s):  
M. Posarac ◽  
M. Dimitrijevic ◽  
T. Volkov-Husovic ◽  
J. Majstorovic ◽  
B. Matovic
Keyword(s):  
Image Analysis ◽  
Thermal Shock ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Non Destructive

scholarly journals An investigation of using grey scale image analysis for predicting the amount of deposited electrospun nanofibres

2019 ◽  
Vol 13 (1) ◽  
pp. 4679-4692
Author(s):  
A. H. Nurfaizey ◽  
F. C. Long ◽  
M. A. M. Daud ◽  
N. Muhammad ◽  
M. R. Mansor ◽  
...  
Keyword(s):  
Image Analysis ◽  
Deposition Time ◽  
Control Method ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Grey Scale ◽  
Significant Area ◽  
Electrospun Nanofibres ◽  
Weighing Method ◽  
Non Destructive

When electrospinning, the amount of electrospun fibres deposited is difficult to determine due to the extremely small size and light weight of the fibres.  Several methods have been used to predict the amount of deposited fibres including weighing, imaging and direct measurement. Yet, these methods have drawbacks that make them unsuitable for commercial scale process control. In this study, an image analysis method is used to predict the amount of deposited fibres over a significant area. When images of electrospun fibres are converted into grey scale images, it is suggested that the amount of fibres deposited can be predicted by measuring the grey scale intensity. Weighing method was used to validate the image analysis results. Weighing method was found wanting when the deposition time was short (p>0.05) due to the insignificant fibre masses compared to the variation of substrates. The results suggest that image analysis method could be used to predict the amount of deposited electrospun nanofibres. Test on different polymers and substrates showed that the method was still capable to distinguish the samples. The developed method has the potential to be applied as an in-line non-destructive quality control method for electrospun fibre manufacture.

scholarly journals Automated image analysis method for oil-release test of lipid-based materials

MethodsX ◽  
2021 ◽  
pp. 101447
Author(s):  
Fabio Valoppi ◽  
Petri Lassila ◽  
Ari Salmi ◽  
Edward Haeggström
Keyword(s):  
Image Analysis ◽  
Automated Image Analysis ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Release Test

STILL VIDEO IMAGE ANALYSIS OF CROP RESIDUE SOIL COVERS

1991 ◽  
Vol 34 (6) ◽  
pp. 2469-2474 ◽  
Author(s):  
J. E. Morrison ◽  
Jr. ◽  
F. W. Chichester
Keyword(s):  
Image Analysis ◽  
Crop Residue ◽  
Video Image ◽  
Soil Covers ◽  
Video Image Analysis

A Computerized Image Analysis Method for Measuring Elastic Tissue.

1989 ◽  
Vol 93 (3) ◽  
pp. 358-362 ◽  
Author(s):  
Thomas J. Flotte ◽  
Johanna M. Seddon ◽  
Yuqing Zhang ◽  
Robert J. Glynn ◽  
Kathleen M. Egan ◽  
...  
Keyword(s):  
Image Analysis ◽  
Elastic Tissue ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Computerized Image Analysis
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