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Observer Design for Discrete-Time Switched Lipschitz Nonlinear Singular Systems with Time Delays and Unknown Inputs Read chapter Read first chapter

2016 | OriginalPaper | Chapter

18. A Study on Feature Extraction of Surface Defect Images of Cold Steel

Authors : Yingjun Guo, Xiaoye Ge, Hexu Sun, Xueling Song

Published in: Proceedings of the 2015 Chinese Intelligent Systems Conference

Publisher: Springer Berlin Heidelberg

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Abstract

Feature extraction is one of the important characteristics used in classifying images. But the extracted features have big numbers and high dimension easily due to various type defects, complicated features and diverse methods of feature. Big numbers and high dimension of features are adverse for feature extraction. The effect of feature extraction decides the effect of image classification directly. According to these problems, experimental investigations are carried out on computer aiming at three typical surface defect images of cold steel strip, and this paper choose the gray features, textural features and Hu invariant moment features as the basis of classification finally. Experimental results demonstrated that features in this paper can be classification basis correctly.

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previous chapter The Research of High-Definition Video Processing System Based on SOC
next chapter Consensus of Multi-agent System with Singular Dynamics and Time Delay
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Metadata
Title
A Study on Feature Extraction of Surface Defect Images of Cold Steel
Authors
Yingjun Guo
Xiaoye Ge
Hexu Sun
Xueling Song
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
Book
Proceedings of the 2015 Chinese Intelligent Systems Conference

Print ISBN: 978-3-662-48384-8

Electronic ISBN: 978-3-662-48386-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-662-48386-2_18

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