AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY

Author:

Lauschmann Hynek,Nedbal Ivan

Abstract

The aim of this study is to estimate the velocity of fatigue crack growth (crack growth rate - CGR) from the texture in SEM images of crack surfaces. A simple and quick method is based on fitting training images as a linear combination of several small subimages selected from the images themselves. The size of basic subimages is derived from autocorrelation functions of the image in row and column direction. The selection of basic subimages is based on two indicators: "appeal" evaluating their shape content, and mutual coefficient of correlation. The method is easy to implement and quick in computations, while results of testing application are fully comparable with best ones obtained within textural fractography of fatigue failures.

Publisher

Slovenian Society for Stereology and Quantitative Image Analysis

Subject

Computer Vision and Pattern Recognition,Acoustics and Ultrasonics,Radiology Nuclear Medicine and imaging,Instrumentation,Materials Science (miscellaneous),General Mathematics,Signal Processing,Biotechnology

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Utilization normal vectors for description of fracture surfaces;Procedia Structural Integrity;2020

2. Analysis of dimple shape on fractographic heat-resistant steel images;Information extraction and processing;2018-12-27

3. Fractographic reconstitution of fatigue crack history – Part II;Fatigue & Fracture of Engineering Materials and Structures;2008-02

4. Quantitative fractography in bending-torsion fatigue;Materials Science and Engineering: A;2007-07

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