Title :
Research on thermally point-bonded nonwovens´ mechanical orientation distribution based on image analysis technology
Author :
Li, Cailan ; Wang, Rongwu
Author_Institution :
Coll. of Textiles, Donghua Univ., Shanghai, China
Abstract :
Fiber orientation distribution is an important characteristic of nonwoven materials. In this study, the multi-focus image fusion technique is adopted to solve the problems of poor quality and insufficient information of images caused by limitation of depth-of-field of common optical microscope. In addition, traditional tensile testing is conducted. Results show that the new method introduced to compute fiber orientation distribution in the assembly here is very quick and significantly useful in real thermally point-bonded nonwovens.
Keywords :
automatic optical inspection; fabrics; image fusion; production engineering computing; tensile testing; textile fibres; fiber orientation distribution; image analysis; image quality; insufficient image information; mechanical orientation distribution; multifocus image fusion technique; nonwoven materials; tensile testing; thermally point-bonded nonwovens; Australia; Computer science; fiber orientation distribution; mechanical orientation; multifocus fused image and analysis; thermally point-bonded nonwovens;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295134