Abstract
Image processing and pattern recognition have been applied to the image acquisition, image enhancement, extraction of classical structure characteristics, binary image processing, and image segmentation of synthetic minerals. They have also been used for the classification, recognition, testing, and survey of the classical structure characteristics, and with the information obtained, a complete image description can be created, from a two-dimensional image to concrete data and quantitative information on the characteristic structure. The results show that image processing and pattern recognition can be successfully applied to the analysis of classical characteristics (such as pore size, number, form, distribution, etc.) of synthetic mineral microstructures, including pore defect and characteristic mineral phase. Information on synthetic mineral microstructure characteristics can be obtained visually, qualitative, quantitatively, and automatically, producing a new research method and testing tool for pore defect research of synthetic minerals.
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