Feature extraction of the fabric defects image

被引：0

作者：

Wang Jianxia ^{[1
]}

Zheng Guang ^{[1
]}

Ma Hongxia ^{[1
]}

Qin Min ^{[1
]}

机构：

[1] Hebei Univ Sci Technol, Coll Informat Sci & Engn, Shijiazhuang 050054, Peoples R China

来源：

ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL II | 2007年

关键词：

fabric defects identification; feature extraction; fabric defects; image processing;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The feature extraction of the fabric defects image is an important basis in the fabric defect identification. It affects directly the efficiency and accuracy of the fabric defects identification. The feature parameter should have high sensitivity, independency and rapid operation, based on this principle, the feature parameters of fabric defects are extracted, which include the area of fabric defects, the boundary perimeter, the center coordinate, the length of the long and short axes, the shape parameter F and eccentricity E. The experiment proved that the size and shape of fabric defects can be identified and the position can be confirmed based on these feature parameters.

引用

页码：714 / 717

页数：4