Improved method of fabric defects inspection based on local entropy

Author

Wang Dongyun ; Zhengguang, Niu

Author_Institution

Zhongyuan Univ. of Technol., Zhengzhou

fYear

2008

fDate

16-18 July 2008

Firstpage

208

Lastpage

211

Abstract

This paper presents an improved method of fabric defects inspection based on local entropy. The adaptive threshold was used for judging the defects of different pictures. It is good for reducing the error due to the change of the background and the subjective factor. The Tyler expand is also used to simplify the formula of the local entropy to accelerate the speed of calculation. In addition, noise in pictures is filtered out and the shape of the defects remains the same after the filtering by opening function of mathematical morphology. Final experiment results shows that this method has the advantage of high identification and good anti-noise ability.

Keywords

automatic optical inspection; entropy; fabrics; image denoising; image segmentation; mathematical morphology; production engineering computing; Tyler expand; adaptive threshold; fabric defects inspection; local entropy; mathematical morphology; Acceleration; Entropy; Fabrics; Filtering; Hafnium; Image analysis; Inspection; Morphology; Noise shaping; Shape; Fabric defects; Gray; Local entropy; Mathematical morphology; Threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605080

Filename

4605080