TY - GEN
T1 - Chemical Analysis of Mineral Surfaces Using Digital Image Processing
AU - Gonzalez-Islas, Juan C.
AU - Aparicio-Duran, Abdon R.
AU - Godinez-Garrido, Gildardo
AU - Gonzalez-Garcia, Karime A.
AU - Flores-Guerrero, Mizraim U.
PY - 2022
Y1 - 2022
N2 - Quantitative and qualitative chemical analyses are of great importance in the characterization of materials and in mineralogy, in order to determine the content of elements present in minerals; the equipment used for this kind of analysis is very expensive and sophisticated. Image segmentation can provide a semi-quantitative analysis of the elemental content of the mineral surface. In the present work, the semi-quantitative analysis of purple fluorite was carried out using atomic absorption spectrophotometry, X-ray dispersive energy spectrometry and the comparison with image segmentation was made, matching the percentages of calcium and fluorine in the three methods. The analysis of the images was based on the intensity of the colors to determine the content of each element present in the mineral, subsequently the method of functional approximation and interpolation was used so that it can be an economic form, precise, and easy to use for determining semi-quantitative composition of mineral surfaces.
AB - Quantitative and qualitative chemical analyses are of great importance in the characterization of materials and in mineralogy, in order to determine the content of elements present in minerals; the equipment used for this kind of analysis is very expensive and sophisticated. Image segmentation can provide a semi-quantitative analysis of the elemental content of the mineral surface. In the present work, the semi-quantitative analysis of purple fluorite was carried out using atomic absorption spectrophotometry, X-ray dispersive energy spectrometry and the comparison with image segmentation was made, matching the percentages of calcium and fluorine in the three methods. The analysis of the images was based on the intensity of the colors to determine the content of each element present in the mineral, subsequently the method of functional approximation and interpolation was used so that it can be an economic form, precise, and easy to use for determining semi-quantitative composition of mineral surfaces.
KW - Atomic absorption spectrophotometry
KW - Image segmentation
KW - Purple fluorite
KW - Semi-quantitative analysis
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=pure_univeritat_ramon_llull&SrcAuth=WosAPI&KeyUT=WOS:000771716900015&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1007/978-3-030-92373-0_15
DO - 10.1007/978-3-030-92373-0_15
M3 - Conference contribution
SN - 978-3-030-92372-3
T3 - Minerals Metals & Materials Series
SP - 155
EP - 162
BT - Characterization Of Minerals, Metals, And Materials 2022
A2 - Zhang, M
A2 - Li, J
A2 - Li, B
A2 - Monteiro, SN
A2 - Ikhmayies, S
A2 - Kalay, YE
A2 - Hwang, JY
A2 - EscobedoDiaz, JP
A2 - Carpenter, JS
A2 - Brown, AD
A2 - Soman, R
A2 - Peng, Z
PB - Springer Nature
T2 - Characterization of Minerals, Metals and Materials Symposium at 151st Annual Meeting and Exhibition of the The-Minerals-Metals-and-Materials Society (TMS)
Y2 - 27 February 2022 through 3 March 2022
ER -