Optimal corrections for digitization and quantification effects in angle measure technique (AMT) texture analysis

2008 ◽  
Vol 22 (11-12) ◽  
pp. 722-737 ◽  
Author(s):  
Sergei V. Kucheryavski ◽  
Knut Kvaal ◽  
Maths Halstensen ◽  
Peter Paasch Mortensen ◽  
Casper K. Dahl ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Angle Measure ◽  
Angle Measure Technique ◽  
Measure Technique

eAMTexplorer: a software package for texture and signal characterization using Angle Measure Technique

2008 ◽  
Vol 22 (11-12) ◽  
pp. 717-721 ◽  
Author(s):  
Knut Kvaal ◽  
Sergei V. Kucheryavski ◽  
Maths Halstensen ◽  
Simen Kvaal ◽  
Andreas S. Flø ◽  
...  
Keyword(s):  
Software Package ◽  
Angle Measure ◽  
Angle Measure Technique ◽  
Signal Characterization ◽  
Measure Technique

The AMT Features Extraction from Batch Drilling Step Monitor Signals and its Applications

2013 ◽  
Vol 718-720 ◽  
pp. 517-520
Author(s):  
You Hang Zhou ◽  
Qiao Zhang
Keyword(s):  
Principal Component Analysis ◽  
High Precision ◽  
Principal Component ◽  
Normalization Method ◽  
Drilling Process ◽  
Angle Measure ◽  
Angle Measure Technique ◽  
Spindle Power ◽  
Measure Technique

Angle Measure Technique (AMT) algorithm is proposed to analyze the quality of batch drilling process in this paper. The groups spindle power (SP) signals of batch drilling were preprocessed by the normalization method, and then the AMT was used to extract the scale features of monitor signals from local to global. By the method of Principal Component Analysis (PCA), the dimensionality of these scale features was reduced to obtain a distribution of the step quality of batch drilling. The results indicate that this method can be used for observation of high precision cutting step quality.

scholarly journals Image texture analysis and colorimetry for the classification of uranium ore concentrate powders

2020 ◽  
Vol 225 ◽  
pp. 07003
Author(s):  
Mara Marchetti ◽  
Klaus Mayer ◽  
Maria Wallenius ◽  
Antonio Bulgheroni ◽  
Thierry Wiss ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Analytical Techniques ◽  
Regulatory Control ◽  
Image Texture ◽  
Multivariate Statistical ◽  
Image Texture Analysis ◽  
Uranium Ore ◽  
Nuclear Security ◽  
Angle Measure Technique ◽  
Illicit Trafficking

In the context of nuclear security, uranium ore concentrates (UOCs) play an important role: they are traded in large quantities and this makes their use “out of regulatory control” a possible scenario. Once an incident of illicit trafficking o f n uclear m aterial is detected, an understanding of its origin and production process is required; this implies the necessity to use analytical techniques able to measure characteristic parameters (e.g. physical, chemical, isotopic characteristics of the nuclear materials) which are referred to, in the field o f t he n uclear f orensics, a s signatures. The present study investigates the potential of image texture analysis (i.e. the angle measure technique), combined with the spectrophotometric determination of colours for the evaluation of the origin of several UOCs. The use of different multivariate statistical techniques allows the categorization of about 80 different samples into a few groups of UOCs powders, which makes this approach a promising method complementing the already established methods in nuclear forensics.

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