Fabric Defect Detection Based on Cross-Entropy

Bao Ming HAO; Hai Feng Xu; Huan Yin Guo

doi:10.4028/www.scientific.net/AMR.760-762.1233

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 760-762Fabric Defect Detection Based on Cross-Entropy

Fabric Defect Detection Based on Cross-Entropy

Abstract:

The core of fabric defects detection is the collection and processing of fabrics image. A scheme for fabric defect detection based on cross-entropy is proposed in this paper.The crossentropy value illuminates the information difference between the template image and the realtime image on the average.So can take advantage of cross-entropy criteria to use for defect detection and identification. Results have confirmed the usefulness of this scheme for fabric defect detection.

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Periodical:

Advanced Materials Research (Volumes 760-762)

Pages:

1233-1236

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.760-762.1233

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Online since:

September 2013

Authors:

Bao Ming HAO, Hai Feng Xu, Huan Yin Guo

Keywords:

Cross-Entropy, Fabric Defects, Image Inspect

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References

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