A method for identifying and processing the surface smoothness of rock ore slices and resin targets

Abstract

Disclosed is a rock ore slice and a resin target surface flatness recognition processing method, including: using a microscope equipped with a camera to collect images of a part of the sample; Partial images, until the image acquisition is completed on the upper surface area of ​​the sample; the multiple partial images obtained are seamlessly stitched together to obtain a complete surface image of the sample; the statistical area is selected in the complete surface image, and the m×n The grid form divides the statistical area; determines whether a single grid is damaged one by one; counts the flat surface grid ratio value of the grid without damage; transfers samples with different flat surface grid ratio values ​​to different positions. The invention calculates the proportion of the flat surface through the grid statistics method, measures the surface quality, provides rock ore slices and resin target surface flatness appraisal standards, and provides a basis for implementing quality classification and control methods.

Description

technical field [0001] The invention relates to the field of geology and mineral resources, in particular to a method for identifying and processing rock ore slices and surface roughness of resin targets. Background technique [0002] Practitioners in the field of geology and mineral resources often need to carry out optical identification of rock ore slices (including thin slices, probe slices, light slices, etc.) Area analysis, such as laser in situ ablation, electron probe, scanning electron microscope and other high-end analysis tests, all need to be carried out on slices or resin target surfaces with relatively high flatness, and different research needs have different flatness requirements. Ordinary transmitted light observation of rock slices (thickness 0.03-0.05mm) generally has a magnification of 25-100 times, and the requirements for the flatness of the slice surface are relatively low, and slight pits, deep scratches, and uneven thickness on the surface have littl...

AI Technical Summary

Problems solved by technology

Ordinary transmitted light observation of rock slices (thickness 0.03-0.05mm) generally has a magnification of 25-100 times, and the requirements for the flatness of the slice surface are relatively low, and slight pits, deep scratches, and uneven thickness on the surface have little effect on observation , but the observation of fluid inclusions (200-500 times magnification) and the observation of surface reflected light (50-200 times magnification) are more demanding, while the laser ablation, electron probe, scanning electron microscope, etc. Slices and resin targets put forward extremely high requirements, and various damages on the surface will affect the analysis

The traditional method is generally divided into the following steps in the process of grinding the surface of the slice and the resin target: rough grinding, fine grinding, fine grinding and polishing. In the process of grinding and thinning, various grinding media are used, such as emery, Silicon carbide, diamond abrasive paste, etc., due to different processes, the selected materials have different particle sizes and large differences in hardness, which will cause varying degrees of damage and destruction on the surface of slices and resin targets, resulting in uneven surface smoothness and quality

[0003] Different research requirements have different flatness requirements for the surface quality of rock ore slices, but the prior art lacks a technology for identifying and processing the surface roughness of rock ore slices and resin targets

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