Detection and Classification of Fabric Color Difference Based on Fuzzy Artificial Neural Network

The detection of fabric color difference and classification issues are studied. First, to the question of color differences and analysis of the characteristics of different color space, we chose L * a * b * color space model. In this method color difference is converted into geometric distance, so we can detect the color difference with the corresponding calculation. For the complexity of color difference classification, we consider that the classification of color difference is fuzzy, so we use fuzzy method to describe it and fuzzy neural network to complete the classification. We also explain the algorithm and structure of fuzzy neural network. Finally, for the detection and classification of color difference of the fabric samples, characteristic and comparative analysis of the detection and classification concludes that the methods chosen are effective and feasible.