Application of a New Image Recognition Technology in Fabric Defect Detection

被引：2
|
作者：
Cui, Bo [1 ]
Liu, Haiying [1 ]
Xue, Tongze [2 ]
机构：
[1] Hebei Polytech Univ, Coll Informat, Tangshan 063009, Hebei, Peoples R China
[2] Hebi Univ Sci & Technol, Coll Informat Sci & Technol, Shijiazhuang 050018, Peoples R China
来源：
FBIE: 2008 INTERNATIONAL SEMINAR ON FUTURE BIOMEDICAL INFORMATION ENGINEERING, PROCEEDINGS | 2008年
关键词：
defect detection; image processing; image analysis; autocorrelation function; grade scoring;
D O I：
10.1109/FBIE.2008.85
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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%.
引用
收藏
页码：67 / +
页数：2
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