基于机器视觉的织物色差检测方法研究进展

Research progress of fabric color difference detection based on machine vision

随着纺织品需求量的增加以及人们对购买衣物的色差要求越来越高,织物色差检测的需求也越来越高。为了解决目前传统色差检测方法速度慢、准确性差等问题,综述了使用基于机器视觉的织物色差检测方法。该方法相比于传统方法能够快速、准确的计算出被测织物与标准织物之间的色差。从色差产生的原因和两种传统色差检测方法出发,分析了传统色差检测方法的不足,总结了基于机器视觉色差检测的一般步骤,并具体评述了图像预处理、颜色空间转换、色差计算与色差评价等4个方面的技术,最后对全文进行总结并对当前研究面临的问题进行概述,清晰地呈现出该领域的发展脉络。

With the increasing demand for textiles and the increasing demand for the color difference of clothes purchased,the demand for fabric color difference detection is also increasing.In order to solve the problems of slow speed and poor accuracy of traditional color difference detection methods,the method of fabric color difference detection based on machine vision was summarized in this paper.Compared with the traditional method,the method can quickly and accurately calculate the color difference between the tested textiles and the standard textiles.Based on the causes of color difference and two traditional color difference detection methods,the shortcomings of traditional color difference detection methods were analyzed in this paper,the general steps of color difference detection based on machine vision was summarized,and the four aspects of image preprocessing,color space conversion,color difference calculation and color difference evaluation were specifically reviewed.Finally,the problems were summarized and the development context of this field was clearly presented.