An Adaptive Segmentation Algorithm Based on Threshold Surface

Ling Ouyang; Dong Yun Wang

doi:10.4028/www.scientific.net/AMR.424-425.1287

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425An Adaptive Segmentation Algorithm Based on...

An Adaptive Segmentation Algorithm Based on Threshold Surface

Abstract:

In an online defects inspection system for cord fabric based on machine vision, Image segmentation for cord fabric defects has been the heat and difficult problem. An adaptive segmentation algorithm using threshold surface is presented in this paper. This method inspects defects through detecting the change of image gray levels caused by the difference in optic character between glass and defects. The experiment results indicate that the proposed method has low computation cost, fast speed and good segmentation performance. It is in accord with the requirements of online inspection system such as reliability, real-time, and veracity

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Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

1287-1292

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.1287

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Online since:

January 2012

Authors:

Ling Ouyang, Dong Yun Wang

Keywords:

Cord Fabric, Defects Inspection, Image Segmentation, Machine Vision

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References

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