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The aim of this paper is the development of a new technological solution, for the automatic characterization of the yarn mass parameters (linear mass, diameter, and hairiness) based on image processing and computer vision techniques.
The contribution of the present paper is in introducing a numerical method to improve the automatic characterization of thin films by increasing the effectiveness of numerical methods that take into account the macroscopic shape of the tip.
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As a result, the defect signatures are enhanced and used to implement an automatic defect characterization.
To facilitate the assay analysis, an android application for automatic colorimetric characterization was developed.
The proposed method can be regarded as an effective means to support different kinds of scenarios possibly requiring automatic brushstroke characterization.
An automatic source term characterization program was developed, and its structure, logic, and function are explained here in detail.
This paper aims at automatic and quantitative characterization of potentially complicated microscopic crystal images, providing feedback to tweak theories and improve synthesis in materials science.
The idea behind MPEG-7 audio protocol is the creation of a large set of standardized tools for automatic audio content characterization.
However, this is not automatic from the characterization of the rate region above; one needs to check that the Slepian-Wolf game is balanced.
Automatic detection and characterization of molecular behavior in large data sets obtained by fast imaging in advanced light microscopy become key issues to decipher the dynamic architectures and their coordination in the living cell.
The automatic recognition and dimensional characterization of these features could be useful for understanding the technology used to manufacture ceramics.
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CEO of Professional Science Editing for Scientists @ prosciediting.com