Application of Fractal Dimension Feature to Recognition of Surface Defects on Hot-Rolled Strips-Reference-Cited by-同舟云学术

Application of Fractal Dimension Feature to Recognition of Surface Defects on Hot-Rolled Strips

Published:2012-01 Issue: Volume:152-154 Page:526-530
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Xu Ke¹,Zhou Peng¹,Yang Chao Lin¹

Affiliation:

1. University of Science and Technology Beijing

Abstract

Because steel strips are covered with scales and water during hot-rolling, it is difficult to recognize the defects from images of hot-rolled strips through conventional methods. Principles and characteristics of fractal dimensions were studied, and computation of the fractal dimensions of the defect images with Peleg Covered Carpet is presented. Fractal dimensions of piecewise linearly transformed and smoothed images were used as features for classification of defects. These features were inputted to train the AdaBoost classifier. Experiments with samples of pimples, shells and scales from a real surface inspection system of hot-rolled strips showed that it is effective to recognized scales from other defects, and the total classification rate of this method is higher than 90%.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.152-154.526.pdf

Reference5 articles.

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