Research Article | OPEN ACCESS
A Fabric Defect Detection Algorithm Based on Improved Valley-Emphasis Method
Zhoufeng Liu, Jiuge Wang, Quanjun Zhao and Chunlei Li
School of Electronic Information, Zhongyuan Uinversity of Technology, Zhengzhou 450007, Henan, China
Research Journal of Applied Sciences, Engineering and Technology 2014 12:2427-2431
Received: March 04, 2013 | Accepted: March 27, 2013 | Published: March 29, 2014
Abstract
Valley-emphasis is a simple and efficient image segmentation method by adaptively calculating threshold. Due to the uneven illumination or complex image texture, this method directly used for fabric image defect detection will cause inaccurate segmentation result. In this study, we propose a novel fabric image segmentation algorithm for fabric defect detection. The optimal threshold is calculated by considering inter- class variance and between-class variance based on Fisher linear discriminant analysis theory. The fabric defect regions are extraceted from the whole fabric image by threshold segmentation algorithm. Experimental results and comparisons demonstrate the effectiveness of the proposed method. And it can implement on-line due to its simplicity.
Keywords:
Defect detection, fisher linear discriminant analysis, otsu method, valley-emphasis method,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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