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.

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Copyright

The authors have no competing interests.