Novel approaches for detecting fabric fault using Artificial Neural Network with K-fold validation

Ahmed Shayer Andalib, Asif Salekin, Mohammad Raihanul Islam, Md Abdulla-Al-Shami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper we have proposed a novel method to detect the defects in woven fabric based on the abrupt changes in the intensity of fabric image due to the defects and have constructed a classification model to properly identify the defects. We have also improved an existing method based on histogram processing for the classifier. In classification model we have implemented Artificial Neural Network (ANN). Both of our newly proposed method and improved technique have outperformed the existing methods. We have implemented K-validation to estimate the performance of our classification model. Additionally we have analyzed the performance of our classification model for different experimental parameters. Finally we have presented a comparative analysis of these techniques.

Original languageEnglish (US)
Title of host publicationProceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012
Pages55-60
Number of pages6
DOIs
StatePublished - Dec 1 2012
Externally publishedYes
Event15th International Conference on Computer and Information Technology, ICCIT 2012 - Chittagong, Bangladesh
Duration: Dec 22 2012Dec 24 2012

Publication series

NameProceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012

Conference

Conference15th International Conference on Computer and Information Technology, ICCIT 2012
CountryBangladesh
CityChittagong
Period12/22/1212/24/12

Keywords

  • Adaptive Median Filter
  • Artificial Neural Network
  • K-Validation
  • Roberts Operator

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Andalib, A. S., Salekin, A., Islam, M. R., & Abdulla-Al-Shami, M. (2012). Novel approaches for detecting fabric fault using Artificial Neural Network with K-fold validation. In Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012 (pp. 55-60). [6509767] (Proceeding of the 15th International Conference on Computer and Information Technology, ICCIT 2012). https://doi.org/10.1109/ICCITechn.2012.6509767