Title :
A Fabric Defect Detection System Based on Image Recognition
Author :
Zhang, Jingmiao ; Meng, Xianzun
Author_Institution :
Comput. Center, Hebei Univ. of Econ. & Bus., Shijiazhuang, China
Abstract :
It is a newer research hotspot using digital image recognition technology to solve the fabric defect in textile enterprises in recent years. Adopting image-recognition technology, through the fabric digital image preprocessing and recognition, measured the fabric defects, stored the related information in order to achieve fabric defect detection automatic, improved the efficiency of defect detection. Fabric defect detection system mainly included three parts: The first, the fabric image acquisition, pre-processing part. The second, the identifier, measurement and storage defect of fabric defect. The third, control mechanism automatically accomplished defect location and identifier. Simulation experiment analysis shows that the time consumption using in image processing algorithms can meet the real-time detection requirements.
Keywords :
fabrics; image recognition; textile industry; digital image recognition technology; fabric defect detection system; fabric image acquisition; fabric image preprocessing; real time detection requirements; simulation experiment analysis; textile enterprises; Algorithm design and analysis; Automatic control; Cameras; Digital images; Fabrics; Image analysis; Image processing; Image recognition; Printing; Textile technology;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473549