Neural network modeling of polar fleece fabric appearance evaluation

Binjie Xin, Jinlian Hu, Xiaoxia Liu, Lantian Lin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


This paper presents the development of a fairly new neural network based method that aims at characterizing polar fleece fabric appearance for the purpose of objective quality evaluation. Co-occurrence matrix analysis is used to give the quantitative descriptions of fabric appearance properties; neural network model is used to establish the relationship between these essential features and the final rating grade of fabric appearance. The experimental results demonstrate that good correlation can be achieved between the actual rating grade and the predicted rating grade and reveals the possibility of the development of artificial intelligence system to simulate the functions of human eyes and brain.
Original languageEnglish
Title of host publicationProceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
Number of pages5
Publication statusPublished - 16 Nov 2010
Event2010 6th International Conference on Natural Computation, ICNC'10 - Yantai, Shandong, China
Duration: 10 Aug 201012 Aug 2010


Conference2010 6th International Conference on Natural Computation, ICNC'10
CityYantai, Shandong


  • Appearance
  • Co-occurrence matrix
  • Neural network
  • Polar fleece fabric

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Biomedical Engineering

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