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Characteristic of interference color in rock forming mineral images
Susilowati Y.a, Rahyuwibowo H.b, Mengko T.R.c
a R and D Center for Geotechnology, Indonesian Institute of Sciences, Komplek LIPI Sangkuriang, Bandung, 40135, Indonesia
b Informatic Engineering Department, STTELKOM, Bandung, 40257, Indonesia
c Electrical Engineering Department, Institute of Technology Bandung, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2002 IEEE.Characteristic of interference color in rock forming mineral image has been studied for the mineral identification. The interference color data are obtained from thin section images under polarizing microscope through video camera and a frame grabber card. The data have been collected for the isotropic (garnet), anisotropic non pleochroic (quartz), and anistropic pleochroic (biotite) minerals. The method of analysis is started with the study of the interference color theory. The correlation of theory and observation data in RGB and HIS color model using digital technique has been explained. The isotropic (garnet), anisotropic non pleochroic (quartz), and anistropic pleochroic (biotite) minerals have the specific characteristic either in RGB or HIS color model. The result of this study is a conclusion that characteristic of interference color in rock forming mineral is one of the significant parameters for mineral identification using digital image processing technique.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Biomedical optical imaging,Digital image,Digital image processing technique,Digital techniques,Image color analysis,Mineral identification,Polarizing microscopes,Rock-forming minerals[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Anisotropic magnetoresistance,Biomedical optical imaging,Digital images,Electron optics,Garnets,Geometrical optics,Image color analysis,Interference,Minerals,Optical microscopy[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/APCCAS.2002.1115223[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]