Method for automatically identifying and distinguishing skeleton crystal diamond-type haematite and remanet haematite

A technology of automatic identification and hematite, which is applied to the analysis of materials, simulation devices of space navigation conditions, material analysis through optical means, etc., can solve the problems of not seeing patent applications, etc., to avoid lack of objectivity and high prediction performance, accuracy, and improved standardization

Active Publication Date: 2010-05-12
BAOSHAN IRON & STEEL CO LTD +1
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

There are no patents or reports on the existing methods for automatic identification and distinction of skeletal rhomboid hematite and residual hematite.

Method used

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  • Method for automatically identifying and distinguishing skeleton crystal diamond-type haematite and remanet haematite
  • Method for automatically identifying and distinguishing skeleton crystal diamond-type haematite and remanet haematite
  • Method for automatically identifying and distinguishing skeleton crystal diamond-type haematite and remanet haematite

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Embodiment

[0077] Fig. 7(a), (b) and Fig. 8(a), (b) are schematic diagrams of comparing the original microscopic images of sintered ore rocks and mineral facies with the sampling method of the present invention and the recognition results. The vertical stripes in Fig. 7(b) and Fig. 8(b) are the results of automatic computer identification of skeletal rhomboid hematite, and the grid pattern is the result of automatic computer identification of residual hematite. The recognition results in Fig. 7(b) and Fig. 8(b) show that the method of the present invention is accurate and effective.

[0078] The actual measurement shows that the method for automatically identifying and distinguishing the mineral phases of skeletal rhombohedral hematite and residual hematite sintered ore of the present invention also has good reproducibility. The errors of the parallel experiments were all within 5%, which was better than the errors of manual analysis. The results are shown in Table 1.

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Abstract

The invention relates to a quantification of sinter morphology technology. The invention discloses a method for automatically identifying and differentiating the skeleton crystal-shaped diamond hematite and the remained hematite; the invention adopts the Support Vector Machine(SVM) fuzzy recognition algorithm, continuously finds out support vectors based on the geometric distributions of the two kinds of samples of the remained hematite and the skeleton crystal-shaped diamond hematite and finally defines the sample data of the remained hematite and three model parameters of the skeleton crystal sample by the continuous iterative learning, which are the optimal classification face, the image which is on the basis of the brightness recognition five large classes and on which the area of thehigh light brightness hematite is marked is judged, thereby separating the skeleton crystal-shaped diamond hematite from the remained hematite and realizing the classification of the two classes of modes of the skeleton crystal-shaped diamond hematite and the remained hematite. The invention not only realizes the automatic analysis and recognition of the skeleton crystal-shaped diamond hematite and the remained hematite in the sinter morphology, but also greatly improves analytic standardization, accuracy and efficiency.

Description

(1) Technical field [0001] The invention relates to mineral phase analysis technology of sintered ore, in particular to a method for automatically identifying and distinguishing skeletal rhomboid hematite and residual hematite. (2) Background technology [0002] Sinter is a man-made rich ore which is mixed with various materials and partially melted at high temperature. class phase. Moreover, hematite, magnetite, calcium ferrite, silicate and other major categories are divided into many sub-categories, such as skeletal rhomboid hematite and residual hematite, molten magnetite and automorphic crystal magnetite. Iron ore, acicular calcium ferrite and platy calcium ferrite, etc. In the microscopic images of sintered ore, the gray scale of skeletal rhomboid hematite and residual hematite is the same, which makes it difficult to automatically identify and distinguish the two phases of skeletal rhomboid hematite and residual hematite . Skeletal rhomboid hematite and residual h...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/84G01N21/17G09B9/00G06F17/00
Inventor 李咸伟邹丹平刘其真王炎文
Owner BAOSHAN IRON & STEEL CO LTD
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