An Application and Research of Gray-Relation for Color Classification in Dyeing Textile

Abstract:

Dyeing textile’s information management system is the basis of accurate classification of color， machine studying methods have became a popular area of research for application in color classification. Traditional classification methods have high efficiency and are very simple ， but they are dependent on the distribution of sample spaces. If the sample data properties are not independent， forecast precision will been affected badly and internal instability will appear. An application of Gray-Relation for dyeing textile color classification has been designed， which offsets the discount in mathematical statistics method for system analysis. It is applicable regardless of variant in sample size， while quantizing structure is in agreement with qualitative analysis. On the basis of theoretical analysis， Dyeing textile color classification was conducted in the conditions of random sampling、 uniform sampling and stratified sampling. The experimental results proofs that by using Gray-Relation， dyeing textile color classification does not need to be dependent on sample space distribution， and increases the stability of classification.

• Periodical: Advanced Materials Research (Volumes 694-697)
• Pages: 2881-2885
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.694-697.2881
• Online since: May 2013
• Authors: Hai Yan Wang, Jian Xin Zhang
• Keywords: Classification, Color, Dyeing Textile, Gray-Relation, Sampling

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