Journal
TEXTILE RESEARCH JOURNAL
Volume 76, Issue 3, Pages 187-196Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/0040517506056868
Keywords
-
Categories
Ask authors/readers for more resources
In this research, a new method is used for grading of yarn appearance based on yarn images of ASTM standard (section D 2255), by using ail image processing technique and an artificial intelligence technique. In this method, grading of yarn appearance is based on computer vision and analyzing the images of standard pictorial boards of yam. Therefore this method is very similar to human vision. The logic of the classification by ASTM is considered and then a new definition for classification of yarn appearance grade is presented. In this method of classification, the grading procedure is not dependent on yarn structure and raw materials. Thus it is possible to use this method for grading of any type of yarn based on apparent features.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available