High-Throughput Object Recognition and Sizing in Disperse Systems

被引：6

作者：

Voelp, Annika Ricarda ^{[1
]}

Fessler, Felix ^{[1
]}

Reiner, Jasmin ^{[2
]}

Willenbacher, Norbert ^{[1
]}

机构：

[1] Karlsruhe Inst Technol, Inst Mech Proc Engn & Mech Appl Mech, Gotthard Franz Str 3,Bldg 50-31, D-76131 Karlsruhe, Germany

[2] Karlsruhe Inst Technol, Inst Proc Engn Life Sci, Chair Food Proc Engn, Gotthard Franz Str 3,Bldg 50-31, D-76131 Karlsruhe, Germany

来源：

CHEMICAL ENGINEERING & TECHNOLOGY | 2020年 / 43卷 / 09期

关键词：

Emulsion; Foam; Image analysis; Size distribution; Template matching; BUBBLE-SIZE;

D O I：

10.1002/ceat.201900494

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Size and shape of dispersed objects defines properties of suspensions, emulsions, and foams, such as stability, texture, and flow. Accordingly, a rational product design requires reliable size distribution analysis. This is particularly challenging in dense foams. An endoscopic setup was optimized for bubble imaging minimizing light reflections, uneven illumination, and foam distortion. A software tool was developed detecting large quantities of foam bubbles at dispersed phase fractions up to 93 % from images with spatially varying contrast within minutes based on the template matching algorithm. Reliability of the method is also illustrated for a bimodal glass bead mixture, anisotropic nanocrystals, and emulsion droplets during freezing.

引用

页码：1897 / 1902

页数：6

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