The Application Of Fitting In Fabric Defect Detection Technology

With the speeding up of the pace of life as well as the improvement of the qual-ity of life,we have a higher request of all aspects of food,clothing,shelter and meansof traveling.Clothes help us to cope with the cold and protect the body,other thanthat,in the modern society,clothes also have played an important role to the humanbody’s decoration and the symbol of a people’s life taste,social status,consumptionlevel and so on.Because of people’s pursuit in the artistic clothes,that people haveto pay attention to the question about fabric quality.In addition,textile industry asa pillar industry of our country,its development has played a vital role to the na-tional economy.To the textile industry,high quality textile is one of the importantfactors of the corporate profits.Therefore,in the process of production,people needto control the fabric quality strictly.On account of the demand of people’s life andthe development of textile industry,fabric defect detection more and more gets peo-ple’s attention.With the rapid development of computer technology,the technologyof fabric defect detection transforms from artificial detection to computer intelligentdetection step by step.The research background of the task about fabric defect detection,this papermakes a detailed introduction in the first chapter.Then I will introduce the applica-tion of several defect detection and classification algorithms and the survey aboutthe technology of fabric defect detection at home and abroad.In this chapter,the in-troduction of algorithms include the improved LBP algorithm based on local binarypattern and its practical application and experimental results.Combined with the actual situation of a domestic factory,in the second chap-ter,a new method to solve the detecting problem in the actual production of fab-ric is proposed.Applying curve fitting to the defect detection to avoid the impactof non-uniform illumination to fabric defect detection,to make the defective partsmore outstanding and the selection of threshold more convenient,so as to achievemore efcient and fast detection.The least square method as a kind of mathemat- ical optimization techniques,is applied to the fitting of gray image,the experimentproved that it can achieve very good detection efect for several special defects.Thispaper makes a concrete analysis to the actual problem and does a large numberof experiments.In order to make better fitting efect,I make a segmentation to thetreating image correctly and select the most appropriate number of polynomial anddetermine an optimum threshold combined with K-means algorithm.This paper hascompleted the fabric defect detection online.