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Abstract
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Article Information:
A Fabric Defect Detection Algorithm Based on Improved Valley-Emphasis Method
Zhoufeng Liu, Jiuge Wang, Quanjun Zhao and Chunlei Li
Corresponding Author: Zhoufeng Liu
Submitted: March 04, 2013
Accepted: March 27, 2013
Published: March 29, 2014 |
Abstract:
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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.
Key words: Defect detection, fisher linear discriminant analysis, otsu method, valley-emphasis method , , ,
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Cite this Reference:
Zhoufeng Liu, Jiuge Wang, Quanjun Zhao and Chunlei Li, . A Fabric Defect Detection Algorithm Based on Improved Valley-Emphasis Method. Research Journal of Applied Sciences, Engineering and Technology, (12): 2427-2431.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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