Automatic detection method for optical structure of metallurgical coke

Abstract

The invention discloses an automatic detection method for an optical structure of metallurgical coke, which comprises the following steps of: shooting a group of 200-time images with two different polarization analysis angles in the same vision field under the conditions of orthogonal polarization of an optical microscope and addition of a lambda complementary color plate, and identifying a background, a silk group and a fragment structure in the vision field; identifying the anisotropic optical tissue through judgment and calculation of data of two pictures with different polarization analysis angles in the same area, calculating shape characteristic parameters of the identified anisotropic tissue color-changing particles, performing classification through the shape characteristic parameters, and finally calculating the proportion of different types of color-changing particles, and obtaining the proportions of isotropic optical tissues and other optical tissues, and repeating the steps until the proportions of the color-changing particles of all the vision field images are calculated. According to the method, the automatic operation of identification, classification and quantification of the optical structure of the coke can be realized, and the accurate and rapid automatic determination of the optical structure of the coke is realized, so that a reliable analysis means is provided for researching the relationship between the coke quality and the coal blending quality.

Description

technical field [0001] The invention relates to a method for detecting the performance of metallurgical materials, in particular to an automatic method for detecting the optical structure of metallurgical coke. Background technique [0002] At present, the coke optical structure measurement method commonly used at home and abroad is the statistical method of manual counting. Different interference colors are formed under the condition of adding λ complementary color plates under crossed polarized light, and the interference colors change when the stage is rotated. According to the characteristics of the same color area of ​​the interference color changes of various optical structures of coke, the selected points are distinguished and identified , divided into isotropic, anisotropic, silky and fragmented tissue, and basic anisotropic tissue, in which anisotropic tissue is divided into fine-grained mosaic, medium-grained mosaic, coarse-grained mosaic, incomplete fiber, Comple...

AI Technical Summary

Problems solved by technology

This detection method can only express the degree of anisotropy through the double reflectance method, and cannot quantify the content of different anisotropic tissues, and the differentiation of different anisotropic tissues is poor

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