Title :
Study on pattern fabric density detection
Author_Institution :
Dept. of Inf. Technol. & Bus. Manage., ChengDu Neusoft Univ., Chengdu, China
Abstract :
This paper mainly studies detection methods of knitted fabric at home and abroad, Comparison of various analytical methods of Image features; And cut apart the image into brochette, then analysis the image texture with the method of gray feature matrix, find out the best standard image; Realize the detection of pattern fabric density finally.
Keywords :
computer vision; fabrics; image resolution; image texture; production engineering computing; quality control; textile technology; brochette; gray feature matrix; image features; image texture analysis; knitted fabrics; pattern fabric density detection; Educational institutions; Entropy; Euclidean distance; Fabrics; Feature extraction; Histograms; Standards; Gray feature; knitted fabric; machine vision;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering (ICIII), 2013 6th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-3985-5
DOI :
10.1109/ICIII.2013.6703146
