Xu, B. and Lin, S. (2002) Automatic Color Identification in Printed Fabrics by a Neural-Fuzzy System. AATCC Review, 2, No. 9.

has been cited by the following article:

• TITLE: Color Measurement of Segmented Printed Fabric Patterns in Lab Color Space from RGB Digital Images

  AUTHORS: Charles Kumah, Ning Zhang, Rafiu King Raji, Ruru Pan

  KEYWORDS: Color Measurement, Lab Color Space, RGB Color Space, Region of Interest (ROI), Quality Control

  JOURNAL NAME: Journal of Textile Science and Technology, Vol.5 No.1, January 25, 2019

  ABSTRACT: Colors of textile materials are the first parameter of quality evaluated by consumers and a key component considered in selecting printed fabric. In the textiles industry, digital printed fabric analysis is one of the basic elements in successfully utilizing a color mechanism scheme and objectively evaluating fabric color alterations. Precise color measurement, however, is mostly used in sample analysis and quality inspection which help to produce reproducible or similar product. It is important that for quality inspection, the color of the product should be measured as a necessary requirement of quality control whether the product is to be accepted or not. Presented in this study is an unsupervised segmentation of printed fabrics patterns using mean shift algorithm and color measurements over the segmented regions of printed fabric patterns. The results established a consistent and reliable color measurement of multiple color patterns and appearance with the established range without any interactions.