Neural network modeling of polar fleece fabric appearance evaluation

Binjie Xin; Jinlian Hu; Xiaoxia Liu; Lantian Lin

doi:10.1109/ICNC.2010.5582978

Neural network modeling of polar fleece fabric appearance evaluation

Binjie Xin, Jinlian Hu, Xiaoxia Liu, Lantian Lin

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010
Pages	417-421
Number of pages	5
Volume	1
DOIs	https://doi.org/10.1109/ICNC.2010.5582978
Publication status	Published - 16 Nov 2010
Event	2010 6th International Conference on Natural Computation, ICNC'10 - Yantai, Shandong, China Duration: 10 Aug 2010 → 12 Aug 2010

Conference

Conference	2010 6th International Conference on Natural Computation, ICNC'10
Country/Territory	China
City	Yantai, Shandong
Period	10/08/10 → 12/08/10

Keywords

Appearance
Co-occurrence matrix
Neural network
Polar fleece fabric

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Biomedical Engineering

More information

10.1109/ICNC.2010.5582978

Cite this

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title = "Neural network modeling of polar fleece fabric appearance evaluation",

abstract = "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.",

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Neural network modeling of polar fleece fabric appearance evaluation. / Xin, Binjie; Hu, Jinlian; Liu, Xiaoxia et al.

Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010. Vol. 1 2010. p. 417-421 5582978.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Liu, Xiaoxia

AU - Lin, Lantian

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N2 - 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.

AB - 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.

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KW - Co-occurrence matrix

KW - Neural network

KW - Polar fleece fabric

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BT - Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010

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Neural network modeling of polar fleece fabric appearance evaluation

Abstract

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Keywords

ASJC Scopus subject areas

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