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arrow Study of Fabric Color Difference Detection Based on Halcon Multilayer Perceptron

Datetime:2018-05-23 11:46:44  

Study of Fabric Color Difference Detection Based on Halcon Multilayer Perceptron

MENG Xiuping SU Gongbing WU Qiming ZHOU Huiyong

AbstractThe study of fabric color difference detection based on Halcon multilayer perceptron was discussed.Firstly,part of the sample characteristics data from database were input into neural network,then neural network was trained and optimized by adopting minimum mean squared error.Multilayer perceptron mapping function for sample characteristics and the classification of color difference was established.In the end,the fabric with larger area and more complicate coloring situation was input into multilayer perceptron.By morphological algorithm,the area with different classifications of color difference in the fabric was divided.The average accuracy rate of color difference detection for the fabrics with three kinds of colors were counted.The lowest accuracy was 89.7%.It is considered that the different color difference areas in the fabric image can be accurately distinguished and divided.It can meet the requirement of accuracy and sensitivity for industrial color difference detection.