LrgpV1, Main, Exploration, bibRecordById, ISTEX:6A23E4C85234A9ABFF52C574699013815D337531

Crystallization monitoring by quantitative image analysis

Identifieur interne : 002E11 ( Main/Exploration ); précédent : 002E10; suivant : 002E12

Crystallization monitoring by quantitative image analysis

Auteurs : Marie-Noëlle Pons [France] ; Hervé Vivier [France]

Source :

Analytica Chimica Acta [ 0003-2670 ] ; 1990.

RBID : ISTEX:6A23E4C85234A9ABFF52C574699013815D337531

Descripteurs français

Wicri :
- topic : Sucre blanc.

English descriptors

KwdEn :
- Algorithm, Binary, Binary image, Coeff, Colour slides, Cosine, Crystal outline, Crystal population, Crystal shape, Crystallization, Crystallization monitoring, First part, Glass slide, Glutamate, Growth kinetics, Image analysis, Image registration, Image treatment, Kinetics, Microcrystal, Microcrystals, Nacl, Nacl crystal, Nacl microcrystals, Pixel, Polygon, Polygonal approximation, Potassium glutamate, Preset value, Quantitative image analysis, Scalar, Scalar product, Second part, Shape distribution, Shape distributions, Shape homogeneity, Side lengths, Significant sides, Slope coef, Slope coeff, Vivier, White sugar.
Teeft :
- Algorithm, Binary, Binary image, Coeff, Colour slides, Cosine, Crystal outline, Crystal population, Crystal shape, Crystallization, Crystallization monitoring, First part, Glass slide, Glutamate, Growth kinetics, Image analysis, Image registration, Image treatment, Kinetics, Microcrystal, Microcrystals, Nacl, Nacl crystal, Nacl microcrystals, Pixel, Polygon, Polygonal approximation, Potassium glutamate, Preset value, Quantitative image analysis, Scalar, Scalar product, Second part, Shape distribution, Shape distributions, Shape homogeneity, Side lengths, Significant sides, Slope coef, Slope coeff, Vivier, White sugar.

Abstract

Abstract: Crystals have well defined geometric characteristics. A geometry-based algorithm has been developed to study images of crystals and to calculate their macroscopic structural characteristics. The procedure has been applied to single monocrystals and crystal populations for which shape distributions can be determined and used to quantify the shape homogeneity of a crystallizer production.

Url:

https://api.istex.fr/document/6A23E4C85234A9ABFF52C574699013815D337531/fulltext/pdf

DOI: 10.1016/S0003-2670(00)80543-7

Affiliations:

Le document en format XML

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<term>Coeff</term>
<term>Colour slides</term>
<term>Cosine</term>
<term>Crystal outline</term>
<term>Crystal population</term>
<term>Crystal shape</term>
<term>Crystallization</term>
<term>Crystallization monitoring</term>
<term>First part</term>
<term>Glass slide</term>
<term>Glutamate</term>
<term>Growth kinetics</term>
<term>Image analysis</term>
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<term>Image treatment</term>
<term>Kinetics</term>
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<term>Microcrystals</term>
<term>Nacl</term>
<term>Nacl crystal</term>
<term>Nacl microcrystals</term>
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<term>Polygon</term>
<term>Polygonal approximation</term>
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<term>Quantitative image analysis</term>
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<term>Shape distributions</term>
<term>Shape homogeneity</term>
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<term>Significant sides</term>
<term>Slope coef</term>
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<term>Vivier</term>
<term>White sugar</term>
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<term>Glass slide</term>
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<term>Growth kinetics</term>
<term>Image analysis</term>
<term>Image registration</term>
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<term>Kinetics</term>
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<term>Microcrystals</term>
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<term>Nacl crystal</term>
<term>Nacl microcrystals</term>
<term>Pixel</term>
<term>Polygon</term>
<term>Polygonal approximation</term>
<term>Potassium glutamate</term>
<term>Preset value</term>
<term>Quantitative image analysis</term>
<term>Scalar</term>
<term>Scalar product</term>
<term>Second part</term>
<term>Shape distribution</term>
<term>Shape distributions</term>
<term>Shape homogeneity</term>
<term>Side lengths</term>
<term>Significant sides</term>
<term>Slope coef</term>
<term>Slope coeff</term>
<term>Vivier</term>
<term>White sugar</term>
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<front><div type="abstract" xml:lang="en">Abstract: Crystals have well defined geometric characteristics. A geometry-based algorithm has been developed to study images of crystals and to calculate their macroscopic structural characteristics. The procedure has been applied to single monocrystals and crystal populations for which shape distributions can be determined and used to quantify the shape homogeneity of a crystallizer production.</div>
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Crystallization monitoring by quantitative image analysis

Crystallization monitoring by quantitative image analysis

Source :

Descripteurs français

English descriptors

Abstract

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