文章基本信息

标题：Analysis using image segmentation for the elemental composition of activated carbon
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作者：Mohammed Danish ; Mohammad Nishat Akhtar ; Rokiah Hashim 等
期刊名称：MethodsX
印刷版ISSN：2215-0161
电子版ISSN：2215-0161
出版年度：2020
卷号：7
页码：1-9
DOI：10.1016/j.mex.2020.100983
语种：English
出版社：Elsevier
摘要：AbstractThis article encompasses the method related to image segmentation of the Field Emission Scanning Electron Microscope (FESEM) images of Acacia Mangium Wood derived Activated Carbons under different conditions. Image segmentation using Hue-Saturation-Value (HSV) thresholding method was adapted to identify the different pattern composition in the grayscale images by varying the intensityValue(V) and keepingHue(H) andSaturation(S) to zero, and each pattern was considered as one type of element that constituted the Activated Carbon. The algorithm was developed to compute the percentage of each pattern using non-zero pixels, and on the basis of different patterns, different elements having certain percentage of composition were recorded. Later, these results were compared with the Energy Dispersive X-ray Spectroscopy (EDS) to cross check the difference in percentage of each element present at the surface of the Activated Carbon. Part of this result is published in the article ,“Comparison of surface properties of wood biomass Activated Carbons and their application against rhodamine B and methylene blue dye” Surfaces and Interfaces vol. 11 (2018) pp1–13.•The methods involved will be useful for characterization of Activated Carbon materials.•Image segmentation using HSV thresholding will inspire other researchers to apply similar concept on other materials.•Different patterns obtained for FESEM images using HSV thresholding was able to determine the presence of multiple elements present in the prepared Activated Carbon samples.Graphical AbstractGraphical AbstractDisplay Omitted
关键词：Activated carbon;Acacia mangium wood;Chemical activation;Image analysis;HSV thresholding