کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
232695 465298 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Textural image classification of foams based on variographic analysis
ترجمه فارسی عنوان
طبقه بندی تصویر متنی از فوم ها بر اساس تجزیه و تحلیل تنوع
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


• A variogram-based technique is used to compare and classify foam image textures.
• The algorithm allows classifying quasi-2D foam images with an accuracy of 88.9%.
• The textures of column foams were mainly defined by frother type.

Froths can be characterised according to several features, such as colour, bubble size distribution, velocity, mobility or texture. In the case of texture, there are some alternatives that can be used to analyse and classify them, like the texture spectrum analysis, the grey-level co-occurrence matrix, or the wavelet texture analysis. In this work, a variogram-based technique is introduced. Variograms are a widely used geostatistical technique to describe the degree of spatial dependence between sample values as separation between them increases, and have been used before to analyse textures in applications that range from microscopy to satellite images. The purpose of the current work is to introduce the variogram-based technique to compare and classify foams (water-air froths) according to their texture, and studying the effect of frother type on the texture of foams generated in a quasi-2D cell and in a laboratory column. In the case of the quasi-2D foams, the variogram-based textural classification algorithm was able to classify foam images according to the frother used, with an accuracy of 88.9%. In the case of the foam images generated in the laboratory column, the results suggest that foam texture is mainly defined by froth type, with some effect of foam height. The column foam images did not show similar characteristics when grouped by foam gas holdup, which was confirmed with the variogram-based textural analysis.

A variogram-based technique is introduced to compare and classify foams according to their texture, and studying the effect of frother type on the texture of foams generated in a quasi-2D cell (left) and in a laboratory column (right). The algorithm allows classifying quasi-2D foam images with an accuracy of 88.9%. In the case of column foams, the results show that foam texture is mainly defined by frother type, with some effect of foam height.Figure optionsDownload as PowerPoint slide

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Minerals Engineering - Volume 98, November 2016, Pages 52–59
نویسندگان
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