Application of a New Image Recognition Technology in Fabric Defect Detection

Author

Cui, Bo ; Liu, Haiying ; Xue, Tongze

Author_Institution

Coll. of Inf., Hebei Polytech. Univ., Tangshan

fYear

2008

fDate

18-18 Dec. 2008

Firstpage

67

Lastpage

70

Abstract

At present, defect detection during the manufacturing are still finished by man, there are a lot of weaknesses by this way, such as low detection efficiency, high miss rate. All of these affect the production quality seriously and restrict the further improvement of production efficiency. This paper presents a method using Fisher classifier in computer image pattern recognition for defect detection and grade scoring of fabric, and gives the realization of software programming and testing. The test results show that the defect recognition rate is 94%.

Keywords

automatic optical inspection; fabrics; flaw detection; image classification; quality control; statistical analysis; textile industry; Fisher classifier; automatic fabric inspection; computer image pattern recognition technology; fabric defect detection; fabric grade scoring; product quality control system; production quality; software programming; software testing; textile industry; Autocorrelation; Brightness; Educational institutions; Fabrics; Image analysis; Image processing; Image recognition; Production; Textile industry; Veins; autocorrelation function; defect detection; grade scoring; image analysis; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3561-6

Type

conf

DOI

10.1109/FBIE.2008.85

Filename

5076687