Crystallization monitoring by quantitative image analysis
Identifieur interne : 002E11 ( Main/Curation ); précédent : 002E10; suivant : 002E12Crystallization monitoring by quantitative image analysis
Auteurs : Marie-Noëlle Pons [France] ; Hervé Vivier [France]Source :
- Analytica Chimica Acta [ 0003-2670 ] ; 1990.
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:
DOI: 10.1016/S0003-2670(00)80543-7
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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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<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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