Image analysis of complex microstructures by texture analysis and correlation with properties by neural networks

被引：0

作者：

Fuchs, A. ^{[1
]}

Bernthaler, T. ^{[1
]}

Stahl, B. ^{[1
]}

Klauck, U. ^{[1
]}

Reinsch, B. ^{[1
]}

Schneider, G. ^{[1
]}

机构：

[1] Fachhochschule Aalen, Beethovenstr. 1, D-73430 Aalen, Germany

来源：

Zeitschrift fuer Metallkunde/Materials Research and Advanced Techniques | 2001年 / 92卷 / 08期

关键词：

Correlation methods - Hardness - Image analysis - Metallographic microstructure - Neural networks - Textures;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

By characterising the microstructure, quantitative image analysis allows to draw conclusions on the mechanical properties of materials. On fine microstructures with low contrast, e.g. of hardened steels, texture analysis has to be applied for quantification. Feeding texture parameters according to Haralick into a trained neural network, a correlation between the microstructure and the hardness of the steels C45 and 100Cr6 can be achieved.

引用

页码：979 / 985

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