作者: T.R. Mengko , Y. Susilowati , R. Mengko , B.E. Leksono
DOI: 10.1109/APCCAS.2000.913531
关键词: Image processing 、 Thin section 、 Materials science 、 Artificial intelligence 、 Video camera 、 Digital image 、 Digital image processing 、 Color analysis 、 Computer vision 、 Frame grabber 、 Optical polarization
摘要: In this study, several image processing techniques have been studied for mineral identification. The data are obtained from a thin section under polarizing microscope through video camera with frame grabber card. collected isotropic (garnet), anisotropic non-pleochroic (quartz), and pleochroic (biotit) minerals, during parallel- cross-nicol observation. Using the technique, color analysis can be done by quantitative method; that is why optical characteristics physical phenomena of minerals explained more clearly. end result study gives us promising method identification using digital technique.